Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details
06/08/2026
Full time
Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details
Own Every Moment at NetApp You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a?Principal Product Manager?to lead the definition and evolution of NetApp's?AI Data Infrastructure (AIDI)?portfolio. This role owns a?broad, end-to-end AI infrastructure strategy, spanning?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full-stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with?architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on?enabling ONTAP and complementary data services across diverse system architectures, including?high-performance file and block platforms, scale-out systems, and object storage, as well as?validated reference architectures. The role supports both?Neocloud providers?and?Strategic Enterprise customers, shaping solutions that enable?training, fine-tuning, inference, and emerging AI workloads across?hybrid and on-prem?environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the?holistic AIDI product strategy, centered on?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a?phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long-term architectural evolution. Identify and prioritize?AI workload use cases?(training, fine-tuning, inference, multi-tenant AI platforms), and map them to?storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead?co-development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain?validated reference architectures and certified AI designs?(e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field-ready. Act as the product interface between?NetApp storage platforms (ONTAP-based systems, E-Series, StorageGRID)?and external partner ecosystems. Platform & Ecosystem Definition Drive?platform and system architecture decisions, including storage platforms, interconnects, and system-level tradeoffs, in close partnership with architecture and engineering. Define?end-to-end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define?fulfillment and delivery models, including: Meet-in-the-channel offerings OEM- and ODM-based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from?Neocloud providers?and?large enterprise customers, addressing performance, scale, multi-tenancy, and operational simplicity. Translate customer needs into?clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are?consumable, supportable, and aligned with real-world deployment models. Monetization & Business Models Define?monetization strategies?for AIDI offerings, including software licensing, subscriptions, consumption-based models, and bundled platform offerings. Partner with finance and GTM teams to assess?revenue impact, pricing, margin, and cost structure?across solution types. Cross-Functional Leadership Serve as the?single point of accountability?across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to?executive leadership and field organizations. Influence?long-term platform decisions?that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with?enterprise infrastructure, storage platforms, or cloud-adjacent systems. Strong understanding of?on-prem and/or cloud infrastructure?and modern data center architectures. Proven experience partnering with?architecture and engineering teams?to translate technical concepts into market-ready products. Experience defining?product roadmaps, phased releases, and go-to-market strategies. Preferred Experience working with?hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with?OEM/ODM ecosystems, multi-vendor platforms, and channel-based delivery models. Background in defining?monetization and licensing models?for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our?AI Data Infrastructure?business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in?AI-ready data platforms and solutions, while working closely with senior leaders across the company. EducationIC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a?Principal Product Manager?to lead the definition and evolution of NetApp's?AI Data Infrastructure (AIDI)?portfolio. This role owns a?broad, end-to-end AI infrastructure strategy, spanning?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full-stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with?architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on?enabling ONTAP and complementary data services across diverse system architectures, including?high-performance file and block platforms, scale-out systems, and object storage, as well as?validated reference architectures. The role supports both?Neocloud providers?and?Strategic Enterprise customers, shaping solutions that enable?training, fine-tuning, inference, and emerging AI workloads across?hybrid and on-prem?environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the?holistic AIDI product strategy, centered on?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a?phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long-term architectural evolution. Identify and prioritize?AI workload use cases?(training, fine-tuning, inference, multi-tenant AI platforms), and map them to?storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead?co-development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain?validated reference architectures and certified AI designs?(e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field-ready. Act as the product interface between?NetApp storage platforms (ONTAP-based systems, E-Series, StorageGRID)?and external partner ecosystems. Platform & Ecosystem Definition Drive?platform and system architecture decisions, including storage platforms, interconnects, and system-level tradeoffs, in close partnership with architecture and engineering. Define?end-to-end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define?fulfillment and delivery models, including: Meet-in-the-channel offerings OEM- and ODM-based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from?Neocloud providers?and?large enterprise customers, addressing performance, scale, multi-tenancy, and operational simplicity. Translate customer needs into?clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are?consumable, supportable, and aligned with real-world deployment models. Monetization & Business Models Define?monetization strategies?for AIDI offerings, including software licensing, subscriptions, consumption-based models, and bundled platform offerings. Partner with finance and GTM teams to assess?revenue impact, pricing, margin, and cost structure?across solution types. Cross-Functional Leadership Serve as the?single point of accountability?across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to?executive leadership and field organizations. Influence?long-term platform decisions?that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with?enterprise infrastructure, storage platforms, or cloud-adjacent systems. Strong understanding of?on-prem and/or cloud infrastructure?and modern data center architectures. Proven experience partnering with?architecture and engineering teams?to translate technical concepts into market-ready products. Experience defining?product roadmaps, phased releases, and go-to-market strategies. Preferred Experience working with?hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with?OEM/ODM ecosystems, multi-vendor platforms, and channel-based delivery models. Background in defining?monetization and licensing models?for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our?AI Data Infrastructure?business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in?AI-ready data platforms and solutions, while working closely with senior leaders across the company. EducationIC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years product management in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication to customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal . click apply for full job details
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years product management in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication to customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal . click apply for full job details
Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details
06/08/2026
Full time
Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer (DE) reporting into Cloud Business Unit SVP&GM. Someone in this role will get the opportunity to work on building and scaling NetApp architecture and experience across all three major cloud services - Amazon Web Services, Microsoft Azure, and Google Cloud as NetApp storage is first party integrated into all these three cloud providers. This is a technical leadership role which will require collaborating with other technical leaders and software engineers across NetApp to drive innovation, engineering excellence, and designing scalable architectures. It is expected that someone in this role will work on most complex engineering problems in space of service fundamentals (availability, reliability, performance, and scalability), developer velocity (CD/CI, modern canary, and real user telemetry-based testing) and designing fault tolerant, highly available and low latency control plane architectures. To earn the respect of the NetApp software engineering community and to keep their tools sharp, Distinguished Engineers (DEs) at NetApp are hands-on practitioners, not consultants. So, it is expected that someone in this role should be able to code and serve as role model for the NetApp technical community. It is expected the person in the role will devote 40% or more of their time in producing artifacts, such as vision statements, design documents, and source code. Prior experience working as a principal or senior principal engineer in one or more high scale, geo distributed applications or services built on either of the major cloud providers will be highly preferred. Prior experience working on storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Java, Typescript, Python, or Ruby. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $285,000-355,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer (DE) reporting into Cloud Business Unit SVP&GM. Someone in this role will get the opportunity to work on building and scaling NetApp architecture and experience across all three major cloud services - Amazon Web Services, Microsoft Azure, and Google Cloud as NetApp storage is first party integrated into all these three cloud providers. This is a technical leadership role which will require collaborating with other technical leaders and software engineers across NetApp to drive innovation, engineering excellence, and designing scalable architectures. It is expected that someone in this role will work on most complex engineering problems in space of service fundamentals (availability, reliability, performance, and scalability), developer velocity (CD/CI, modern canary, and real user telemetry-based testing) and designing fault tolerant, highly available and low latency control plane architectures. To earn the respect of the NetApp software engineering community and to keep their tools sharp, Distinguished Engineers (DEs) at NetApp are hands-on practitioners, not consultants. So, it is expected that someone in this role should be able to code and serve as role model for the NetApp technical community. It is expected the person in the role will devote 40% or more of their time in producing artifacts, such as vision statements, design documents, and source code. Prior experience working as a principal or senior principal engineer in one or more high scale, geo distributed applications or services built on either of the major cloud providers will be highly preferred. Prior experience working on storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Java, Typescript, Python, or Ruby. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $285,000-355,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Date Posted: 2026-05-29 Country: United States of America Location: US-MD-ABERDEEN-APG 6260 Guardian Gtwy APG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Raytheon, managed by Collins Aerospace The Precision Navigation business within the Mission Systems division of Collins Aerospace, Systems Engineering Center is growing! We are involved in all aspects of Systems Design and Architecture for the business area. This team, based at Aberdeen Proving Ground, is responsible for supporting system architecture development, CONOPS development, system trade studies, requirements analysis and flow down to hardware/software configuration items; leading to systems design for combat Identification of Friend or Foe (IFF) solutions for air defense, air control, and self-protection missions in airborne and ground applications. We have an immediate and upcoming career growth opportunities for experienced Systems Engineers to join our dynamic and rapidly growing team. The successful candidate will be experienced with related hardware, software, and system development efforts necessary to propose, implement, verify, and deliver systems. As a Principal Engineer, you will work closely with an Integrated Program Team (IPT) supporting a Model Based Systems Engineering (MBSE) environment to develop system requirements. You will analyze and document system behaviors to meet emerging needs using MBSE tools and principles. The successful candidate must be a proven and effective leader driving technical integrity in the engineering team's products and behaviors, while ensuring program execution to plan. General supervision is received from a designated supervisor. Guidance received relates primarily to general objectives and details of unusual situations and /or requirements. May provide functional guidance to less experienced engineers or exercise occasional functional supervision over technicians and clerical assistants. This is an onsite role at our Aberdeen Proving Ground facility, relocation is not provided. Qualifications You Must Have: Minimum 8 years of related systems engineering experience in requirements analysis and development, system performance analysis, utilizing MBSE tools and techniques Typically requires Bachelor's degree (typically in Science, Technology, Engineering or Mathematics (STEM and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations, OR Advanced Degree in a related field and minimum 5 years of experience Knowledge of Systems Modeling Language (SysML) fundamentals Ability to interact effectively with multidisciplinary teams of design professionals including electrical, mechanical, software, test, logistics and other systems engineers The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Sign-on Bonus Eligible Qualifications We Prefer OMG-Certified Systems Modeling Professional Experience using one or more of the following common MBSE tools: DOORs Next Gen, Cameo Enterprise Architect, Rational Rhapsody, etc. Working experience with the development of Military equipment Experience in execution of a disciplined engineering processes, scope management, people development, earned value management, and risk and opportunity management Excellent communication skills (written, verbal, and presentation and ability to effectively communicate with leadership Strong team building, leadership and motivational skills Active Secret Clearance Experience with DSP theory and / or MATLAB modeling What We Offer : Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market. Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. WE ARE REDEFINING AEROSPACE. Please ensure the role type (defined below) is appropriate for your needs before applying to this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings. Some of our competitive benefits package includes: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: . click apply for full job details
06/08/2026
Full time
Date Posted: 2026-05-29 Country: United States of America Location: US-MD-ABERDEEN-APG 6260 Guardian Gtwy APG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Raytheon, managed by Collins Aerospace The Precision Navigation business within the Mission Systems division of Collins Aerospace, Systems Engineering Center is growing! We are involved in all aspects of Systems Design and Architecture for the business area. This team, based at Aberdeen Proving Ground, is responsible for supporting system architecture development, CONOPS development, system trade studies, requirements analysis and flow down to hardware/software configuration items; leading to systems design for combat Identification of Friend or Foe (IFF) solutions for air defense, air control, and self-protection missions in airborne and ground applications. We have an immediate and upcoming career growth opportunities for experienced Systems Engineers to join our dynamic and rapidly growing team. The successful candidate will be experienced with related hardware, software, and system development efforts necessary to propose, implement, verify, and deliver systems. As a Principal Engineer, you will work closely with an Integrated Program Team (IPT) supporting a Model Based Systems Engineering (MBSE) environment to develop system requirements. You will analyze and document system behaviors to meet emerging needs using MBSE tools and principles. The successful candidate must be a proven and effective leader driving technical integrity in the engineering team's products and behaviors, while ensuring program execution to plan. General supervision is received from a designated supervisor. Guidance received relates primarily to general objectives and details of unusual situations and /or requirements. May provide functional guidance to less experienced engineers or exercise occasional functional supervision over technicians and clerical assistants. This is an onsite role at our Aberdeen Proving Ground facility, relocation is not provided. Qualifications You Must Have: Minimum 8 years of related systems engineering experience in requirements analysis and development, system performance analysis, utilizing MBSE tools and techniques Typically requires Bachelor's degree (typically in Science, Technology, Engineering or Mathematics (STEM and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations, OR Advanced Degree in a related field and minimum 5 years of experience Knowledge of Systems Modeling Language (SysML) fundamentals Ability to interact effectively with multidisciplinary teams of design professionals including electrical, mechanical, software, test, logistics and other systems engineers The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Sign-on Bonus Eligible Qualifications We Prefer OMG-Certified Systems Modeling Professional Experience using one or more of the following common MBSE tools: DOORs Next Gen, Cameo Enterprise Architect, Rational Rhapsody, etc. Working experience with the development of Military equipment Experience in execution of a disciplined engineering processes, scope management, people development, earned value management, and risk and opportunity management Excellent communication skills (written, verbal, and presentation and ability to effectively communicate with leadership Strong team building, leadership and motivational skills Active Secret Clearance Experience with DSP theory and / or MATLAB modeling What We Offer : Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market. Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. WE ARE REDEFINING AEROSPACE. Please ensure the role type (defined below) is appropriate for your needs before applying to this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings. Some of our competitive benefits package includes: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: . click apply for full job details
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a Principal Product Manager to lead the definition and evolution of NetApp's AI Data Infrastructure (AIDI) portfolio. This role owns a broad, end to end AI infrastructure strategy, spanning ONTAP based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on enabling ONTAP and complementary data services across diverse system architectures, including high performance file and block platforms, scale out systems, and object storage, as well as validated reference architectures. The role supports both Neocloud providers and Strategic Enterprise customers, shaping solutions that enable training, fine tuning, inference, and emerging AI workloads across hybrid and on prem environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the holistic AIDI product strategy, centered on ONTAP based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long term architectural evolution. Identify and prioritize AI workload use cases (training, fine tuning, inference, multi tenant AI platforms), and map them to storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead co development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain validated reference architectures and certified AI designs (e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field ready. Act as the product interface between NetApp storage platforms (ONTAP based systems, E Series, StorageGRID) and external partner ecosystems. Platform & Ecosystem Definition Drive platform and system architecture decisions, including storage platforms, interconnects, and system level tradeoffs, in close partnership with architecture and engineering. Define end to end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define fulfillment and delivery models, including: Meet in the channel offerings OEM and ODM based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from Neocloud providers and large enterprise customers, addressing performance, scale, multi tenancy, and operational simplicity. Translate customer needs into clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are consumable, supportable, and aligned with real world deployment models. Monetization & Business Models Define monetization strategies for AIDI offerings, including software licensing, subscriptions, consumption based models, and bundled platform offerings. Partner with finance and GTM teams to assess revenue impact, pricing, margin, and cost structure across solution types. Cross Functional Leadership Serve as the single point of accountability across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to executive leadership and field organizations. Influence long term platform decisions that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with enterprise infrastructure, storage platforms, or cloud adjacent systems. Strong understanding of on prem and/or cloud infrastructure and modern data center architectures. Proven experience partnering with architecture and engineering teams to translate technical concepts into market ready products. Experience defining product roadmaps, phased releases, and go to market strategies. Preferred Experience working with hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with OEM/ODM ecosystems, multi vendor platforms, and channel based delivery models. Background in defining monetization and licensing models for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our AI Data Infrastructure business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in AI ready data platforms and solutions, while working closely with senior leaders across the company. Education IC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a Principal Product Manager to lead the definition and evolution of NetApp's AI Data Infrastructure (AIDI) portfolio. This role owns a broad, end to end AI infrastructure strategy, spanning ONTAP based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on enabling ONTAP and complementary data services across diverse system architectures, including high performance file and block platforms, scale out systems, and object storage, as well as validated reference architectures. The role supports both Neocloud providers and Strategic Enterprise customers, shaping solutions that enable training, fine tuning, inference, and emerging AI workloads across hybrid and on prem environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the holistic AIDI product strategy, centered on ONTAP based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long term architectural evolution. Identify and prioritize AI workload use cases (training, fine tuning, inference, multi tenant AI platforms), and map them to storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead co development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain validated reference architectures and certified AI designs (e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field ready. Act as the product interface between NetApp storage platforms (ONTAP based systems, E Series, StorageGRID) and external partner ecosystems. Platform & Ecosystem Definition Drive platform and system architecture decisions, including storage platforms, interconnects, and system level tradeoffs, in close partnership with architecture and engineering. Define end to end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define fulfillment and delivery models, including: Meet in the channel offerings OEM and ODM based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from Neocloud providers and large enterprise customers, addressing performance, scale, multi tenancy, and operational simplicity. Translate customer needs into clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are consumable, supportable, and aligned with real world deployment models. Monetization & Business Models Define monetization strategies for AIDI offerings, including software licensing, subscriptions, consumption based models, and bundled platform offerings. Partner with finance and GTM teams to assess revenue impact, pricing, margin, and cost structure across solution types. Cross Functional Leadership Serve as the single point of accountability across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to executive leadership and field organizations. Influence long term platform decisions that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with enterprise infrastructure, storage platforms, or cloud adjacent systems. Strong understanding of on prem and/or cloud infrastructure and modern data center architectures. Proven experience partnering with architecture and engineering teams to translate technical concepts into market ready products. Experience defining product roadmaps, phased releases, and go to market strategies. Preferred Experience working with hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with OEM/ODM ecosystems, multi vendor platforms, and channel based delivery models. Background in defining monetization and licensing models for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our AI Data Infrastructure business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in AI ready data platforms and solutions, while working closely with senior leaders across the company. Education IC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
06/08/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are looking for a Distinguished Engineer who will have the opportunity to work on building and scaling architecture and experience across multiple cloud environments, leveraging open-source technologies and delivering platform-as-a-service solutions that power mission-critical workloads. This is a technical leadership role that requires close collaboration with other technical leaders and software engineers to drive innovation, engineering excellence, and the design of scalable architectures. The role will focus on solving the most complex engineering challenges in areas such as service fundamentals-availability, reliability, performance, and scalability-while also improving developer velocity through modern CI/CD practices, canary deployments, and real-user telemetry-based testing. A key responsibility will be designing fault-tolerant, highly available, and low-latency control plane architectures for cloud-native services. Distinguished Engineers are hands-on practitioners, not consultants. To earn the respect of the engineering community and keep their skills sharp, it is expected that this role will involve coding and serving as a role model for technical excellence. At least forty percent of the time will be devoted to producing tangible artifacts such as vision statements, design documents, and source code. Prior experience as a Principal or Senior Principal engineer working on high-scale, geo-distributed applications or services built on major cloud providers is highly preferred. Experience with open-source technologies such as Apache Cassandra, Kafka, PostgreSQL, or similar distributed systems is strongly valued. Familiarity with storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Rust, GoLang or Java. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $290,000-350,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Principal Associate, Capital Markets & Risk - Systems Analyst The Treasury Systems & Business Solutions team, a department within Treasury that falls under Capital Markets and Risk organization, consists of business process and system experts who are passionate about creating a simple, well-integrated and intelligent solution that enables superior decision making and best-in-class execution, operations, and risk management for the Treasury department. We are responsible for maintaining Treasury software applications that support both business users and data consumers, while influencing strategic technology decisions. Working back from business imperatives, and internal customer needs, we lead Agile teams to implement new products for Treasury, develop new capabilities, and deliver high quality data. We are looking for a Principal Analyst to work with the team and Agile pod in delivering cloud-based solutions for the overall business intent through close collaboration across internal partners. This role will be responsible for leading the necessary customer interviews and analysis to ground the problems to be solved, running impact analysis, and working with Agile teams to define, test and implement solutions. The Principal Analyst will also be responsible for delivering and ensuring the integrity of all data changed or produced as a result of any new intent delivery. General Responsibilities: Define solutions (requirements, designs, services, recommendations) to business/systems problems Liaison between tech and business SMEs to translate business requirements into highly specified project briefs Partner with consumers, business SMEs, and source system teams to analyze, internalize, and translate business requirements and source data to develop: data requirements for upstream source systems, source to target mapping, data quality requirements, processing requirements (business rules, aggregation, transformation), user acceptance test cases, negative test scenarios Prepare systems analysis documentation/specifications Identify roadblocks to projected timeline and present possible solutions Ensure solution integrity through user acceptance testing (UAT) and finalize disposition of solution for business as usual (BAU) acceptance Responsible for various support functions including assisting core system users, downstream systems issues and responding to internal/external audit requests Responsible for the development, maintenance, management, and delivery of technical information or documentation Own the design of configuration changes needed within Treasury's Cash Management system Quantum Manage inter-team and technology dependencies to mitigate project and product risks Support the Product Owner with prioritization, road map development, and test coordination Basic Qualifications: Bachelor's Degree or military experience At least 4 years of experience working in a business system analysis role At least 3 years of experience with Capital Markets, Treasury, Payments or Cash Management (such as Quantum or other Cash Management tools) or a combination Preferred Qualifications: MBA or Master's degree in Business, Computer Science, Information Systems, or Engineering 3+ years' experience designing and conducting unit testing 3+ years' experience with SQL, Python, or a combination 3+ years' experience of experience in Agile methodologies 1+ year of experience working with AWS At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Analyst, Capital Mkts & Risk Richmond, VA: $119,400 - $136,200 for Principal Analyst, Capital Mkts & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/08/2026
Full time
Principal Associate, Capital Markets & Risk - Systems Analyst The Treasury Systems & Business Solutions team, a department within Treasury that falls under Capital Markets and Risk organization, consists of business process and system experts who are passionate about creating a simple, well-integrated and intelligent solution that enables superior decision making and best-in-class execution, operations, and risk management for the Treasury department. We are responsible for maintaining Treasury software applications that support both business users and data consumers, while influencing strategic technology decisions. Working back from business imperatives, and internal customer needs, we lead Agile teams to implement new products for Treasury, develop new capabilities, and deliver high quality data. We are looking for a Principal Analyst to work with the team and Agile pod in delivering cloud-based solutions for the overall business intent through close collaboration across internal partners. This role will be responsible for leading the necessary customer interviews and analysis to ground the problems to be solved, running impact analysis, and working with Agile teams to define, test and implement solutions. The Principal Analyst will also be responsible for delivering and ensuring the integrity of all data changed or produced as a result of any new intent delivery. General Responsibilities: Define solutions (requirements, designs, services, recommendations) to business/systems problems Liaison between tech and business SMEs to translate business requirements into highly specified project briefs Partner with consumers, business SMEs, and source system teams to analyze, internalize, and translate business requirements and source data to develop: data requirements for upstream source systems, source to target mapping, data quality requirements, processing requirements (business rules, aggregation, transformation), user acceptance test cases, negative test scenarios Prepare systems analysis documentation/specifications Identify roadblocks to projected timeline and present possible solutions Ensure solution integrity through user acceptance testing (UAT) and finalize disposition of solution for business as usual (BAU) acceptance Responsible for various support functions including assisting core system users, downstream systems issues and responding to internal/external audit requests Responsible for the development, maintenance, management, and delivery of technical information or documentation Own the design of configuration changes needed within Treasury's Cash Management system Quantum Manage inter-team and technology dependencies to mitigate project and product risks Support the Product Owner with prioritization, road map development, and test coordination Basic Qualifications: Bachelor's Degree or military experience At least 4 years of experience working in a business system analysis role At least 3 years of experience with Capital Markets, Treasury, Payments or Cash Management (such as Quantum or other Cash Management tools) or a combination Preferred Qualifications: MBA or Master's degree in Business, Computer Science, Information Systems, or Engineering 3+ years' experience designing and conducting unit testing 3+ years' experience with SQL, Python, or a combination 3+ years' experience of experience in Agile methodologies 1+ year of experience working with AWS At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Analyst, Capital Mkts & Risk Richmond, VA: $119,400 - $136,200 for Principal Analyst, Capital Mkts & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/08/2026
Full time
Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
06/08/2026
Full time
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/08/2026
Full time
Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
06/08/2026
Full time
Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Principal Associate, Data Scientist - Mainstreet Acquisitions Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Valuations team is a multi-disciplinary team focused on the development, deployment, model governance, and risk management of valuations model in credit underwriting. Our mission is to bring real-time, personalized offers to our customers - via innovation and optimization in our valuations modeling system. We work with partners from across the enterprise to build data and modeling products that enable best in class credit analysis and customer-facing decisioning. Underwriting innovation is a key source of Capital One's competitive advantage - it is in our DNA. Our team continues to push that competitive edge through the use of new data and advanced modeling techniques. Building the capabilities that the enterprise needs is a challenging long term project; the prize is big and there are plenty of opportunities to deliver value on the way. To bring our vision to life, as a model developer and data scientist, you can expect to: Conduct model development, experimenting with various statistical methodologies to improve model performance; Leverage alternative data sources along with various feature selection and engineering techniques to enhance in market models; Develop next-gen credit underwriting models; Partner with key stakeholders across the organization to establish standards for the new modeling approaches that are consistent with our values; Push the envelope with new data and new modeling approaches to improve our lending decisions. Our team's work is both intellectually demanding and highly collaborative. As part of an enterprise team delivering new capabilities, you will be working across: LOB underwriting teams, various DS/DA teams, enterprise platform teams, enterprise data team, tech teams, legal and compliance teams, consumer credit risk management, model risk office, and enterprise data risk management. Great team culture is profoundly important to us: we want everyone to feel they are doing meaningful and enjoyable work; we are informal and indifferent to hierarchy; we actively encourage new ideas and new ways of doing things; we respect each other's perspectives and preferences. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/08/2026
Full time
Principal Associate, Data Scientist - Mainstreet Acquisitions Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Valuations team is a multi-disciplinary team focused on the development, deployment, model governance, and risk management of valuations model in credit underwriting. Our mission is to bring real-time, personalized offers to our customers - via innovation and optimization in our valuations modeling system. We work with partners from across the enterprise to build data and modeling products that enable best in class credit analysis and customer-facing decisioning. Underwriting innovation is a key source of Capital One's competitive advantage - it is in our DNA. Our team continues to push that competitive edge through the use of new data and advanced modeling techniques. Building the capabilities that the enterprise needs is a challenging long term project; the prize is big and there are plenty of opportunities to deliver value on the way. To bring our vision to life, as a model developer and data scientist, you can expect to: Conduct model development, experimenting with various statistical methodologies to improve model performance; Leverage alternative data sources along with various feature selection and engineering techniques to enhance in market models; Develop next-gen credit underwriting models; Partner with key stakeholders across the organization to establish standards for the new modeling approaches that are consistent with our values; Push the envelope with new data and new modeling approaches to improve our lending decisions. Our team's work is both intellectually demanding and highly collaborative. As part of an enterprise team delivering new capabilities, you will be working across: LOB underwriting teams, various DS/DA teams, enterprise platform teams, enterprise data team, tech teams, legal and compliance teams, consumer credit risk management, model risk office, and enterprise data risk management. Great team culture is profoundly important to us: we want everyone to feel they are doing meaningful and enjoyable work; we are informal and indifferent to hierarchy; we actively encourage new ideas and new ways of doing things; we respect each other's perspectives and preferences. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
06/08/2026
Full time
Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
06/08/2026
Full time
Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details
Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/08/2026
Full time
Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
