19 jobs found

Employment Type: Salaried Work Arrangement: Hybrid Relocation package available to eligible candidates Position Summary: The Senior Business Systems Analyst (Sr BSA) bridges business needs and technology solutions by leading business analysis, process discovery, requirements definition, stakeholder alignment, testing coordination, and deployment readiness for both small and complex initiatives. This role has a primary focus on Order to Delivery, including order management, order promising, fulfillment, inventory coordination, shipping, transportation, shipment visibility, and delivery execution. In ERP and integrated-platform environments, the Sr BSA applies an end-to-end value stream mindset, partnering across Commercial, Customer Service, Supply Chain, Operations, Logistics, and IT to improve process flow, data quality, system integration, testing readiness, user adoption, and business outcomes across the full Order to Delivery lifecycle. As a member of the Business Engagement Team, the Sr BSA serves as a key liaison between business partners, Functional BAs, platform teams, developers, vendors, solution architects, and IT leadership to ensure delivered solutions meet business outcomes and enterprise standards. Major Duties and Responsibilities: Each Senior BSA role is aligned to a specific enterprise value stream and is expected to develop strong end-to-end process knowledge, partner closely with business and IT stakeholders, and help ensure requirements, testing, and solutions support efficient, integrated outcomes across the full lifecycle of that value stream. The primary focus area for this position is Order to Delivery. You will lead business systems analysis for the end-to-end Order to Delivery value stream, partnering across Commercial, Customer Service, Supply Chain, Operations, and IT to improve order management, fulfillment, shipment visibility, and delivery execution using ERP system like Oracle Fusion. Shape Demand: Support and partner in the identification and prioritization of business opportunities / ideas, focusing on long-term strategic goals. Lead the cultivation and refinement of these business ideas into actionable demands, including comprehensive business cases. Process Analysis: Conduct detailed assessments of current business processes using flowcharts and analytical tools to document and help identify gaps, inefficiencies, bottlenecks, and areas for improvement which can be addressed using technology. Business Requirements: Lead the elicitation and documentation of complex, cross-functional business requirements for corporate and strategic priority initiatives. Quality Assurance: Ensure business requirements are met by partnering with the QA team in Blackbox testing and leading UAT efforts, including test strategy, planning, execution, and issue resolution. Identify potential risks and develop mitigation strategies to ensure project success. Engage in post-implementation reviews to identify lessons learned and drive continuous improvement. Stakeholder Communication: Facilitate effective communication between business partners, delivery teams, and executive stakeholders. Mentoring and Training: Guide less experienced and new BSA team members. Also work with Training and Development to create effective training media and training plans for end users of solutions. Additional responsibilities as assigned. Education and Experience: Bachelor's degree in technology, Engineering, or Business 5-10 years of progressively increasing responsibility as a BSA Equivalent business experience, with extensive involvement in process analysis, process design and documentation Involvement in complex, large scale and high impact projects/platform implementations that add significant business value. Demonstrated experience supporting end-to-end Order to Delivery processes, including order management, order promising, fulfillment, inventory coordination, shipping, transportation, and delivery execution. Hands-on experience leading business process analysis, current/future-state mapping, and value stream optimization initiatives within Order to Delivery. Experience of eliciting, documenting, and managing complex requirements that span multiple systems and teams, with a focus on improving flow, visibility, and data quality. Experience working with ERP Order to Delivery modules supporting Order Management, Inventory, Shipping, Transportation, and related fulfillment processes strongly preferred. Knowledge and Skills: Demonstrate deep expertise in the end-to-end Order to Delivery (OTD) process, including order capture, order management, fulfillment, shipping, transportation, and delivery execution. Ability to perform system and process analysis duties including flow charting and value stream mapping using process and software documentation tools. Has direct participation and experience with multiple software platform implementations. Strong ability to partner across Commercial, Customer Service, Supply Chain, Operations, and Logistics to translate business needs into integrated, cross-functional requirements. Proven leadership of UAT planning and execution for Order to Delivery solutions, including test strategy, defect management, and business signoff. Understanding of upstream and downstream integrations (e.g., CRM, EDI, warehouse management, shipping, and transportation systems) and their impact on the Order to Delivery lifecycle. Prior experience with process improvement methodologies and tools (Kaizen, Six Sigma, Green/Black Belt, etc) preferred. Understanding data systems, databases, software development life cycle, and information and application architecture. Experience leading the development of UAT and QA testing plans and cases. Ability to learn and adapt to new software and technology. Project management skills a plus. Excellent interpersonal skills. Why Join Us: Ventura Foods innovates and manufactures food solutions for foodservice and retail businesses. We make exclusive products for the world's most iconic restaurants and retailers, we provide ready-to-go product solutions for professional kitchens, and we make consumer brands everyone knows and loves. When you work for Ventura Foods, you get a strong foundation of training, a manager who cares about you and celebrates your success, a safe environment, and challenging work. As part of our team, your future is limited only by how much you're willing to push yourself to get there. We invest in your growth because you invest in ours. Ventura Foods offers career growth opportunities as well as competitive compensation and benefits: Medical, Prescription, Dental, & Vision - coverage beginning on your 1st day for eligible employees Profit Sharing and 401(k) matching (after eligible criteria is met) Paid Vacation, Sick Time, and Holidays Employee Appreciation Events and Employee Assistance Programs Salary Base Range of $103,685.00 - $134,453.55 The "base salary range" provided above is a good faith estimate of what we expect to pay for this position in the specified markets. Ventura Foods reserves the right to pay outside of the given range based on a variety of factors including but not limited to: candidate skills and experience, complexity of the job, budgetary factors, and location/geography. Ventura Foods conducts regular reviews of compensation ranges and therefore reserves the right to alter this range at any given time. Diversity & Inclusion: Our commitment to a diverse and inclusive environment in which all employees are treated with respect is evident in our company culture and values. We believe that fostering an environment of inclusion and a focus on diversity across our organization is vital to attracting top talent, driving innovation, and meeting the high expectations of our customers in a rapidly evolving global marketplace. Ventura Foods is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Employment Type: Salaried Work Arrangement: Hybrid Relocation package available to eligible candidates Position Summary: The Senior Business Systems Analyst (Sr BSA) bridges business needs and technology solutions by leading business analysis, process discovery, requirements definition, stakeholder alignment, testing coordination, and deployment readiness for both small and complex initiatives. This role has a primary focus on Order to Delivery, including order management, order promising, fulfillment, inventory coordination, shipping, transportation, shipment visibility, and delivery execution. In ERP and integrated-platform environments, the Sr BSA applies an end-to-end value stream mindset, partnering across Commercial, Customer Service, Supply Chain, Operations, Logistics, and IT to improve process flow, data quality, system integration, testing readiness, user adoption, and business outcomes across the full Order to Delivery lifecycle. As a member of the Business Engagement Team, the Sr BSA serves as a key liaison between business partners, Functional BAs, platform teams, developers, vendors, solution architects, and IT leadership to ensure delivered solutions meet business outcomes and enterprise standards. Major Duties and Responsibilities: Each Senior BSA role is aligned to a specific enterprise value stream and is expected to develop strong end-to-end process knowledge, partner closely with business and IT stakeholders, and help ensure requirements, testing, and solutions support efficient, integrated outcomes across the full lifecycle of that value stream. The primary focus area for this position is Order to Delivery. You will lead business systems analysis for the end-to-end Order to Delivery value stream, partnering across Commercial, Customer Service, Supply Chain, Operations, and IT to improve order management, fulfillment, shipment visibility, and delivery execution using ERP system like Oracle Fusion. Shape Demand: Support and partner in the identification and prioritization of business opportunities / ideas, focusing on long-term strategic goals. Lead the cultivation and refinement of these business ideas into actionable demands, including comprehensive business cases. Process Analysis: Conduct detailed assessments of current business processes using flowcharts and analytical tools to document and help identify gaps, inefficiencies, bottlenecks, and areas for improvement which can be addressed using technology. Business Requirements: Lead the elicitation and documentation of complex, cross-functional business requirements for corporate and strategic priority initiatives. Quality Assurance: Ensure business requirements are met by partnering with the QA team in Blackbox testing and leading UAT efforts, including test strategy, planning, execution, and issue resolution. Identify potential risks and develop mitigation strategies to ensure project success. Engage in post-implementation reviews to identify lessons learned and drive continuous improvement. Stakeholder Communication: Facilitate effective communication between business partners, delivery teams, and executive stakeholders. Mentoring and Training: Guide less experienced and new BSA team members. Also work with Training and Development to create effective training media and training plans for end users of solutions. Additional responsibilities as assigned. Education and Experience: Bachelor's degree in technology, Engineering, or Business 5-10 years of progressively increasing responsibility as a BSA Equivalent business experience, with extensive involvement in process analysis, process design and documentation Involvement in complex, large scale and high impact projects/platform implementations that add significant business value. Demonstrated experience supporting end-to-end Order to Delivery processes, including order management, order promising, fulfillment, inventory coordination, shipping, transportation, and delivery execution. Hands-on experience leading business process analysis, current/future-state mapping, and value stream optimization initiatives within Order to Delivery. Experience of eliciting, documenting, and managing complex requirements that span multiple systems and teams, with a focus on improving flow, visibility, and data quality. Experience working with ERP Order to Delivery modules supporting Order Management, Inventory, Shipping, Transportation, and related fulfillment processes strongly preferred. Knowledge and Skills: Demonstrate deep expertise in the end-to-end Order to Delivery (OTD) process, including order capture, order management, fulfillment, shipping, transportation, and delivery execution. Ability to perform system and process analysis duties including flow charting and value stream mapping using process and software documentation tools. Has direct participation and experience with multiple software platform implementations. Strong ability to partner across Commercial, Customer Service, Supply Chain, Operations, and Logistics to translate business needs into integrated, cross-functional requirements. Proven leadership of UAT planning and execution for Order to Delivery solutions, including test strategy, defect management, and business signoff. Understanding of upstream and downstream integrations (e.g., CRM, EDI, warehouse management, shipping, and transportation systems) and their impact on the Order to Delivery lifecycle. Prior experience with process improvement methodologies and tools (Kaizen, Six Sigma, Green/Black Belt, etc) preferred. Understanding data systems, databases, software development life cycle, and information and application architecture. Experience leading the development of UAT and QA testing plans and cases. Ability to learn and adapt to new software and technology. Project management skills a plus. Excellent interpersonal skills. Why Join Us: Ventura Foods innovates and manufactures food solutions for foodservice and retail businesses. We make exclusive products for the world's most iconic restaurants and retailers, we provide ready-to-go product solutions for professional kitchens, and we make consumer brands everyone knows and loves. When you work for Ventura Foods, you get a strong foundation of training, a manager who cares about you and celebrates your success, a safe environment, and challenging work. As part of our team, your future is limited only by how much you're willing to push yourself to get there. We invest in your growth because you invest in ours. Ventura Foods offers career growth opportunities as well as competitive compensation and benefits: Medical, Prescription, Dental, & Vision - coverage beginning on your 1st day for eligible employees Profit Sharing and 401(k) matching (after eligible criteria is met) Paid Vacation, Sick Time, and Holidays Employee Appreciation Events and Employee Assistance Programs Salary Base Range of $103,685.00 - $134,453.55 The "base salary range" provided above is a good faith estimate of what we expect to pay for this position in the specified markets. Ventura Foods reserves the right to pay outside of the given range based on a variety of factors including but not limited to: candidate skills and experience, complexity of the job, budgetary factors, and location/geography. Ventura Foods conducts regular reviews of compensation ranges and therefore reserves the right to alter this range at any given time. Diversity & Inclusion: Our commitment to a diverse and inclusive environment in which all employees are treated with respect is evident in our company culture and values. We believe that fostering an environment of inclusion and a focus on diversity across our organization is vital to attracting top talent, driving innovation, and meeting the high expectations of our customers in a rapidly evolving global marketplace. Ventura Foods is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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, 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).

Senior Distinguished Engineer, AI Compute (Remote Eligible) 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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields 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 : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 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 . 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 (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity 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. . click apply for full job details

Senior Distinguished Engineer, AI Compute (Remote Eligible) 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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields 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 : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 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 . 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).

Senior Lead AI Engineer (MLXT) 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. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks 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, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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, 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).

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $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 . click apply for full job details

Sr. Distinguished Machine Learning Engineer (Remote-Eligible) 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 Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning 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 . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $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 . click apply for full job details

Lead Machine Learning Engineer (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures - pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing . You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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, 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).

Senior Distinguished Engineer, AI Compute (Remote Eligible) 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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields 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 : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 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 . 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).

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.