9 jobs found

Position - AI Automation Lead Technology Lead Junior Architect Function Digital Transformation / AI and Automation Reports To Delivery Manager Manages AI Automation Engineers (2 5 FTEs, growing) Experience 7 12 Years (3 in automation architecture) Domain Focus Customer Service HR Payroll Marketing Platform Aisera Agentic AI (trained on-the-job; prior flow/automation leadership experience required) Engagement Type Architecture and Tech delivery Governance ABOUT THE ROLE The AI Automation Lead is a senior practitioner and team anchor for our Aisera-powered automation delivery across various department like Customer Service, HR, and Payroll. You will own both the technical quality of what gets built and the team capability to build it - functioning as flow architect, delivery manager, and people leader simultaneously. You will set the automation standards, govern flow design patterns, define integration approaches, own client-facing requirement workshops, and mentor a growing team of engineers. You will work directly with business stakeholders to convert ambiguous operational challenges into well-scoped automation programs, and with the engineering team to ensure those programs are delivered with consistency, reliability, and scale in mind. This is not a role for someone who wants to step away from the craft. You are expected to be hands-on in complex or novel flow design while leading the team through delivery. Deep Aisera knowledge is not required on day one - but deep automation fluency and the ability to ramp on a new platform quickly are non-negotiable. Job Description:- WHAT YOU WILL DO Strategy and Program Design Own the end-to-end automation program across Customer Service, HR, and Payroll - from use case discovery and prioritization through delivery, adoption, and continuous improvement. Lead automation discovery workshops with business stakeholders (HR Directors, CS Ops leads, Payroll Managers) to identify automation candidates, size effort, and define success metrics. Define and maintain an automation backlog and roadmap: prioritize use cases based on ROI, complexity, data readiness, and system integration feasibility. Establish flow design standards, naming conventions, error handling patterns, and governance frameworks that all team members follow consistently. Technical Architecture and Flow Design Architect multi-step, multi-agent automation solutions: decide when to use Hyperflows vs. structured AI Workflow Builder flows, how to chain agents, and where to inject human-in-the-loop controls. Design integration architectures: map out system-of-record dependencies (Workday, SAP, ServiceNow, Salesforce, payroll platforms), define API call patterns, and manage connection governance. Step in directly on complex flow builds - particularly novel integrations, multi-conditional orchestrations, or flows with regulatory sensitivity (payroll compliance, HR data privacy). Review and approve all flows before they move to UAT - check for logic completeness, error handling, performance edge cases, and security/compliance alignment. Ensure all automation flows comply with TRAPS principles - particularly around data privacy (PII handling in HR/Payroll flows), auditability, and access control. Team Leadership and Mentoring Directly manage a team of 2 5 AI Automation Engineers - assign work, run sprint planning, unblock delivery issues, and own team velocity. Mentor engineers on flow design principles, API integration patterns, conversational AI design, and platform-specific best practices on Aisera. Conduct structured code and flow reviews - not just checking correctness, but building engineers fluency and design maturity over time. Run or contribute to team onboarding for new engineers joining the automation practice. Stakeholder Management and Governance Act as the primary point of escalation for delivery issues, integration blockers, and scope changes - communicate clearly to business and technology stakeholders. Own automation reporting: track flow performance (auto-resolution rates, ticket deflection, cycle time reduction), surface insights from Aisera Analytics, and present outcomes to leadership. Work with platform and vendor teams (Aisera/Automation Anywhere) on roadmap alignment, escalating platform limitations, and participating in product advisory engagements. Maintain a risk register for automation programs - identify fragile integrations, business rule drift, and data quality issues before they cause production failures. WHAT YOU BRING Automation Leadership and Architecture (Must Have) 7 years in automation, digital transformation, or enterprise application delivery, with at least 3 years in a technical lead or architect role owning end-to-end automation programs. Deep hands-on experience with one or more enterprise automation/workflow platforms: ServiceNow Flow Designer / Virtual Agent, Microsoft Power Platform (Power Automate Copilot Studio), UiPath / Automation Anywhere with orchestrator-level exposure, Salesforce Flow / Agentforce, Pega / Appian / Camunda, or comparable enterprise platforms. Experience designing and governing conversational AI or virtual agent platforms at scale - including intent taxonomy design, NLP tuning, agent handoff logic, and knowledge management. Strong API integration architecture experience: RESTful service design, OAuth patterns, webhook orchestration, error handling, and retry strategy for enterprise integrations. Demonstrated ability to run delivery programs end-to-end: scope definition, effort estimation, sprint planning, risk management, and stakeholder communication. Domain Experience (Strongly Preferred) Delivered automation in at least two of the three target domains (Customer Service, HR, Payroll) - you understand the business language, data sensitivities, and regulatory considerations in these areas. Familiarity with common system-of-record platforms: Workday or SuccessFactors (HR), ADP / Ceridian / UKG (Payroll), Salesforce / Zendesk / Genesys (Customer Service), ServiceNow (ITSM/ESM). Soft Skills People leader who builds capability - you invest in your teams growth, not just in getting the current sprint done. Executive-level communication: able to present automation outcomes, ROI, and strategic roadmaps to senior business stakeholders without losing credibility with technical audiences. Strong structured thinking: can decompose an ambiguous business problem into a well-scoped, deliverable automation program. Opinionated on quality: willing to push back on shortcuts that compromise reliability, maintainability, or security in production flows. Microsoft Power Platform, Automation Architecture, Digital Transformation, Analytics, Enterprise Automation, ServiceNow Flow Designer, ), UiPath, Automation Anywhere, API integration

Principal Security Engineer - IAM THIS ROLE WILL BE ONSITE IN OUR IRVING, TX. OR MIAMI, FL. OFFICES We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future The Principal Security Engineer is the highest technical position within the security engineering team, responsible for driving the overall security strategy of the organization. This role is focused on designing cutting-edge security solutions, with a strong emphasis on cloud security, and leading the organization's response to the most complex security challenges. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities on the Team Define and lead the implementation of the organization's security strategy, with a focus on Cloud Security, Identity Access Management, and all other aspects of Cybersecurity Architect and oversee the deployment of IAM solutions across both on-premise and cloud environments, ensuring they meet the highest standards of security. Lead the most complex security assessments, including threat modeling, red teaming, and cloud security reviews. Collaborate with executive leadership to ensure that security initiatives align with the organization's strategic goals and risk appetite. Act as the technical lead for large-scale security projects, coordinating cross-functional teams to ensure successful delivery. Architect and implement solutions across workforce IAM, PAM, and customer IAM ecosystems. Provide thought leadership in adopting passwordless authentication, passkeys, adaptive MFA, and AI-driven access orchestration strategies Engineer integrations with Agentic AI tools for intelligent decisioning, policy enforcement, and autonomous identity lifecycle operations. Develop and implement automated provisioning/deprovisioning workflows Ensure integration of IAM with cloud platforms (Azure, AWS, GCP) and SaaS applications. Mentor and develop the skills of senior security engineers, fostering a culture of continuous improvement and innovation. Requirements Education: Bachelor's degree in Computer Science, Cybersecurity, or a related discipline; Master's degree is highly preferred. Professional Experience: Minimum of 10 years in security engineering, with significant expertise in Identity and Access Management (IAM). Project Leadership: Demonstrated success in leading large-scale IAM initiatives and formulating security strategies for complex organizations. IAM Solutions: Design and hands-on engineering across IAM: Identity Providers (such as Microsoft Entra ID, Okta, Ping, ForgeRock), Identity Governance & Administration (SailPoint, Saviynt), Privileged Access Management (CyberArk, Delinea, HashiCorp Vault), and Customer IAM (Auth0, PingOne-preferred). Protocols & APIs: Deep understanding of federation protocols (SAML, OAuth2.0, OIDC), SCIM, and RESTful APIs. Directory Services & Cloud IAM: Hands-on experience with Active Directory, LDAP, and cloud IAM solutions (Azure, AWS, GCP). Security Frameworks: Solid foundation in Zero Trust architecture and contemporary security standards. Automation: Proficient in scripting and automation using PowerShell, Python, Java, or RESTful APIs. Recognized industry certifications such as CISSP, CCSP, AWS Certified Security - Specialty, or equivalent credentials. Exceptional leadership and communication abilities, capable of influencing executive decision-makers and directing cross-functional teams. Physical & Office/Site Presence Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Job Role : AI Automation Architect Location : Raleigh, NC (hybrid - At least 3 days a week in office) Job type : fulltime AI Automation Lead Technology Lead Junior Architect Function Digital Transformation / AI & Automation Reports To Delivery Manager Manages AI Automation Engineers (2-5 FTEs, growing) Experience 7-12 Years (3+ in automation architecture) Domain Focus Customer Service HR Payroll Marketing Platform Aisera Agentic AI (trained on-the-job; prior flow/automation leadership experience required) Engagement Type Architecture & Tech delivery Governance ABOUT THE ROLE The AI Automation Lead is a senior practitioner and team anchor for our Aisera-powered automation delivery across various department like Customer Service, HR, and Payroll. You will own both the technical quality of what gets built and the team capability to build it - functioning as flow architect, delivery manager, and people leader simultaneously. You will set the automation standards, govern flow design patterns, define integration approaches, own client-facing requirement workshops, and mentor a growing team of engineers. You will work directly with business stakeholders to convert ambiguous operational challenges into well-scoped automation programs, and with the engineering team to ensure those programs are delivered with consistency, reliability, and scale in mind. This is not a role for someone who wants to step away from the craft. You are expected to be hands-on in complex or novel flow design while leading the team through delivery. Deep Aisera knowledge is not required on day one - but deep automation fluency and the ability to ramp on a new platform quickly are non-negotiable. Job Description:- WHAT YOU WILL DO Strategy & Program Design • Own the end-to-end automation program across Customer Service, HR, and Payroll - from use case discovery and prioritization through delivery, adoption, and continuous improvement. • Lead automation discovery workshops with business stakeholders (HR Directors, CS Ops leads, Payroll Managers) to identify automation candidates, size effort, and define success metrics. • Define and maintain an automation backlog and roadmap: prioritize use cases based on ROI, complexity, data readiness, and system integration feasibility. • Establish flow design standards, naming conventions, error handling patterns, and governance frameworks that all team members follow consistently. Technical Architecture & Flow Design • Architect multi-step, multi-agent automation solutions: decide when to use Hyperflows vs. structured AI Workflow Builder flows, how to chain agents, and where to inject human-in-the-loop controls. • Design integration architectures: map out system-of-record dependencies (Workday, SAP, ServiceNow, Salesforce, payroll platforms), define API call patterns, and manage connection governance. • Step in directly on complex flow builds - particularly novel integrations, multi-conditional orchestrations, or flows with regulatory sensitivity (payroll compliance, HR data privacy). • Review and approve all flows before they move to UAT - check for logic completeness, error handling, performance edge cases, and security/compliance alignment. • Ensure all automation flows comply with TRAPS principles - particularly around data privacy (PII handling in HR/Payroll flows), auditability, and access control. Team Leadership & Mentoring • Directly manage a team of 2-5 AI Automation Engineers - assign work, run sprint planning, unblock delivery issues, and own team velocity. • Mentor engineers on flow design principles, API integration patterns, conversational AI design, and platform-specific best practices on Aisera. • Conduct structured code and flow reviews - not just checking correctness, but building engineers" fluency and design maturity over time. • Run or contribute to team onboarding for new engineers joining the automation practice. Stakeholder Management & Governance • Act as the primary point of escalation for delivery issues, integration blockers, and scope changes - communicate clearly to business and technology stakeholders. • Own automation reporting: track flow performance (auto-resolution rates, ticket deflection, cycle time reduction), surface insights from Aisera Analytics, and present outcomes to leadership. • Work with platform and vendor teams (Aisera/Automation Anywhere) on roadmap alignment, escalating platform limitations, and participating in product advisory engagements. • Maintain a risk register for automation programs - identify fragile integrations, business rule drift, and data quality issues before they cause production failures. WHAT YOU BRING Automation Leadership & Architecture (Must Have) • 7+ years in automation, digital transformation, or enterprise application delivery, with at least 3 years in a technical lead or architect role owning end-to-end automation programs. • Deep hands-on experience with one or more enterprise automation/workflow platforms: ServiceNow Flow Designer / Virtual Agent, Microsoft Power Platform (Power Automate + Copilot Studio), UiPath / Automation Anywhere with orchestrator-level exposure, Salesforce Flow / Agentforce, Pega / Appian / Camunda, or comparable enterprise platforms. • Experience designing and governing conversational AI or virtual agent platforms at scale - including intent taxonomy design, NLP tuning, agent handoff logic, and knowledge management. • Strong API integration architecture experience: RESTful service design, OAuth patterns, webhook orchestration, error handling, and retry strategy for enterprise integrations. • Demonstrated ability to run delivery programs end-to-end: scope definition, effort estimation, sprint planning, risk management, and stakeholder communication. Domain Experience (Strongly Preferred) • Delivered automation in at least two of the three target domains (Customer Service, HR, Payroll) - you understand the business language, data sensitivities, and regulatory considerations in these areas. • Familiarity with common system-of-record platforms: Workday or SuccessFactors (HR), ADP / Ceridian / UKG (Payroll), Salesforce / Zendesk / Genesys (Customer Service), ServiceNow (ITSM/ESM). Soft Skills • People leader who builds capability - you invest in your team"s growth, not just in getting the current sprint done. • Executive-level communication: able to present automation outcomes, ROI, and strategic roadmaps to senior business stakeholders without losing credibility with technical audiences. • Strong structured thinking: can decompose an ambiguous business problem into a well-scoped, deliverable automation program. • Opinionated on quality: willing to push back on shortcuts that compromise reliability, maintainability, or security in production flows.

This is not a remote role. You must be in the area or willing to relocate! "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Disney Vacation Club, Storyliving by Disney, Adventures by Disney, and National Geographic Expeditions. This role sits in the Disney Signature Experience organization within Technology & Digital for Disney Experiences. It supports high-visibility, guest-facing digital platforms and works closely with Storyliving by Disney, Adventures by Disney and National Geographic Expeditions (A&E) businesses. Role Summary The Lead Software Engineer will be responsible for leading the development and implementation of custom and commercial software projects to power both cast and guest experiences. They will champion the use of AI-assisted development tools and process automation across the software development lifecycle (SDLC), driving measurable improvements in delivery speed, code quality, and operational efficiency. This role intentionally blends active software development with technical leadership. You will spend meaningful time designing, building, reviewing, and improving code while also setting technical direction, mentoring engineers, and guiding platform strategy. The role emphasizes modern front-end engineering (UI architecture, performance, accessibility, component-driven development) while maintaining full-stack responsibility with back-end systems. You will partner closely with Product, UX, Content, and Business stakeholders to ensure the web platform and front-end ecosystem scale reliably to support best-in-class, high-traffic, revenue-generating digital experiences. What You'll DoExperience Platform & Front-End Engineering Leadership (Primary Focus) Own the technical strategy, roadmap, and operational health of the Adobe Experience Manager (AEM) platform and the guest-facing front-end ecosystem built on it Set front-end architecture direction for guest-facing web experiences (rendering strategy, component architecture, data/state patterns) and ensure consistency across products Lead platform upgrades, security posture, performance optimization, reliability, and scalability initiatives across both the platform and UI layer Establish and evolve engineering standards and best practices for front-end development (patterns, guardrails, quality gates, CI/CD expectations) Build and govern reusable capabilities: components/templates/workflows/content models and shared UI component libraries/design system adoption Write, review, and optimize production-quality code using JavaScript and TypeScript; provide hands-on technical leadership for React and Angular implementations Champion web fundamentals using measurable standards and tooling: performance, accessibility (WCAG), SEO, and responsive design Partner with Product, UX, Design, and Content teams to translate designs into scalable, maintainable solutions and enable AI-assisted content workflows (e.g., tagging, summarization, optimization) with brand governance and quality controls Introduce AI-enhanced experience capabilities where valuable (e.g., intelligent search, recommendations, conversational interfaces, personalization) with appropriate quality and risk controls Services & Integrations (Full-Stack Leadership) Design, implement, and review APIs, microservices, and backend integrations supporting business and guest experiences Define integration strategies with internal systems and third-party services, ensuring secure and reliable service contracts Contribute hands-on across the stack as needed to unblock teams, accelerate delivery, and resolve complex technical challenges Collaborate with architects on cloud-native and AI solution patterns, ensuring operability and maintainability Ensure end-to-end alignment between front-end, services, and infrastructure (performance, reliability, observability readiness) Engineering Excellence & Delivery Drive adoption of AI-assisted engineering practices (agentic IDEs, code assistants, AI pair programming) to improve throughput and quality, with clear team guardrails and measurable outcomes Set standards for "trust-but-verify" usage of AI-generated code: validation, security review, refactoring expectations, and maintainability requirements (including preventing over-reliance on automation) Expand SDLC automation using AI where it improves outcomes (test generation, documentation generation, code review acceleration, pipeline improvements), while preserving engineering rigor Actively participate in development while leading code reviews to ensure quality, security, and maintainability Identify, prioritize, and remediate technical debt through hands-on contribution and backlog planning Translate business requirements into clear technical designs, stories, and implementation plans Guide estimation, planning, and delivery of complex initiatives Ensure CI/CD, monitoring, logging, and observability are built into all solutions Review and approve solution designs and technical documentation Ensure you remain up to date with emerging technologies so you can make informed recommendations Team Leadership & Mentorship Mentor and coach engineers through code reviews, pairing, and design discussions Provide technical leadership to both onshore and offshore development teams Foster a collaborative, inclusive, and high-performing engineering culture Promote effective use of AI-assisted developer tools to improve code quality, velocity, and documentation Lead by example through strong engineering practices, ownership, and accountability Required Qualifications 7+ years of professional software engineering experience Demonstrated ability to lead technical decision-making, influence architecture across teams, and align engineering solutions with business outcomes An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging Must have demonstrated success using AI coding assistants (agentic IDEs / AI pair programming) to improve delivery speed and quality Must have experience implementing AI-enabled automation across SDLC (testing, code review, documentation, CI/CD) with measurable outcomes Strong "trust-but-verify" discipline: validate, secure, refactor, and govern AI-generated output to meet maintainability standards Ability to establish team guardrails and educate others on responsible AI usage (risks, over-reliance, licensing/security considerations) Strong expertise in modern front-end development using JavaScript and TypeScript Must have hands-on experience with Node.js, React and Angular in large-scale applications Must have solid full-stack experience with Java, Spring, Spring Boot, RESTful APIs, and microservices Experience designing and operating CI/CD pipelines Experience with monitoring and observability tools (e.g., Splunk, AppDynamics, etc.) Strong understanding of object-oriented design and software architecture principles Experience working in agile development environments Preferred Qualifications 10+ years of experience building and supporting enterprise-scale, customer-facing platforms Experience with Adobe Experience Manager (AEM), including AEM as a Cloud Service Experience with headless or hybrid AEM architectures Experience using AI assisted development tools in large engineering teams Understanding of responsible AI principles in enterprise or consumer facing environments Experience with cloud-based technologies like AWS, Google Cloud, Microsoft Azure Experience with Confluence and Jira to document requirements, user stories and technical designs. Required Education Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Education Bachelor's or Master's degree in Computer Science or a related discipline The hiring range for this position in Orlando is $148,300.00 - $180,000.00 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.

This is not a remote role. You must be in the area or willing to relocate! "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Disney Vacation Club, Storyliving by Disney, Adventures by Disney, and National Geographic Expeditions. This role sits in the Disney Signature Experience organization within Technology & Digital for Disney Experiences. It supports high-visibility, guest-facing digital platforms and works closely with Storyliving by Disney, Adventures by Disney and National Geographic Expeditions (A&E) businesses. Role Summary The Lead Software Engineer will be responsible for leading the development and implementation of custom and commercial software projects to power both cast and guest experiences. They will champion the use of AI-assisted development tools and process automation across the software development lifecycle (SDLC), driving measurable improvements in delivery speed, code quality, and operational efficiency. This role intentionally blends active software development with technical leadership. You will spend meaningful time designing, building, reviewing, and improving code while also setting technical direction, mentoring engineers, and guiding platform strategy. The role emphasizes modern front-end engineering (UI architecture, performance, accessibility, component-driven development) while maintaining full-stack responsibility with back-end systems. You will partner closely with Product, UX, Content, and Business stakeholders to ensure the web platform and front-end ecosystem scale reliably to support best-in-class, high-traffic, revenue-generating digital experiences. What You'll DoExperience Platform & Front-End Engineering Leadership (Primary Focus) Own the technical strategy, roadmap, and operational health of the Adobe Experience Manager (AEM) platform and the guest-facing front-end ecosystem built on it Set front-end architecture direction for guest-facing web experiences (rendering strategy, component architecture, data/state patterns) and ensure consistency across products Lead platform upgrades, security posture, performance optimization, reliability, and scalability initiatives across both the platform and UI layer Establish and evolve engineering standards and best practices for front-end development (patterns, guardrails, quality gates, CI/CD expectations) Build and govern reusable capabilities: components/templates/workflows/content models and shared UI component libraries/design system adoption Write, review, and optimize production-quality code using JavaScript and TypeScript; provide hands-on technical leadership for React and Angular implementations Champion web fundamentals using measurable standards and tooling: performance, accessibility (WCAG), SEO, and responsive design Partner with Product, UX, Design, and Content teams to translate designs into scalable, maintainable solutions and enable AI-assisted content workflows (e.g., tagging, summarization, optimization) with brand governance and quality controls Introduce AI-enhanced experience capabilities where valuable (e.g., intelligent search, recommendations, conversational interfaces, personalization) with appropriate quality and risk controls Services & Integrations (Full-Stack Leadership) Design, implement, and review APIs, microservices, and backend integrations supporting business and guest experiences Define integration strategies with internal systems and third-party services, ensuring secure and reliable service contracts Contribute hands-on across the stack as needed to unblock teams, accelerate delivery, and resolve complex technical challenges Collaborate with architects on cloud-native and AI solution patterns, ensuring operability and maintainability Ensure end-to-end alignment between front-end, services, and infrastructure (performance, reliability, observability readiness) Engineering Excellence & Delivery Drive adoption of AI-assisted engineering practices (agentic IDEs, code assistants, AI pair programming) to improve throughput and quality, with clear team guardrails and measurable outcomes Set standards for "trust-but-verify" usage of AI-generated code: validation, security review, refactoring expectations, and maintainability requirements (including preventing over-reliance on automation) Expand SDLC automation using AI where it improves outcomes (test generation, documentation generation, code review acceleration, pipeline improvements), while preserving engineering rigor Actively participate in development while leading code reviews to ensure quality, security, and maintainability Identify, prioritize, and remediate technical debt through hands-on contribution and backlog planning Translate business requirements into clear technical designs, stories, and implementation plans Guide estimation, planning, and delivery of complex initiatives Ensure CI/CD, monitoring, logging, and observability are built into all solutions Review and approve solution designs and technical documentation Ensure you remain up to date with emerging technologies so you can make informed recommendations Team Leadership & Mentorship Mentor and coach engineers through code reviews, pairing, and design discussions Provide technical leadership to both onshore and offshore development teams Foster a collaborative, inclusive, and high-performing engineering culture Promote effective use of AI-assisted developer tools to improve code quality, velocity, and documentation Lead by example through strong engineering practices, ownership, and accountability Required Qualifications 7+ years of professional software engineering experience Demonstrated ability to lead technical decision-making, influence architecture across teams, and align engineering solutions with business outcomes An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging Must have demonstrated success using AI coding assistants (agentic IDEs / AI pair programming) to improve delivery speed and quality Must have experience implementing AI-enabled automation across SDLC (testing, code review, documentation, CI/CD) with measurable outcomes Strong "trust-but-verify" discipline: validate, secure, refactor, and govern AI-generated output to meet maintainability standards Ability to establish team guardrails and educate others on responsible AI usage (risks, over-reliance, licensing/security considerations) Strong expertise in modern front-end development using JavaScript and TypeScript Must have hands-on experience with Node.js, React and Angular in large-scale applications Must have solid full-stack experience with Java, Spring, Spring Boot, RESTful APIs, and microservices Experience designing and operating CI/CD pipelines Experience with monitoring and observability tools (e.g., Splunk, AppDynamics, etc.) Strong understanding of object-oriented design and software architecture principles Experience working in agile development environments Preferred Qualifications 10+ years of experience building and supporting enterprise-scale, customer-facing platforms Experience with Adobe Experience Manager (AEM), including AEM as a Cloud Service Experience with headless or hybrid AEM architectures Experience using AI assisted development tools in large engineering teams Understanding of responsible AI principles in enterprise or consumer facing environments Experience with cloud-based technologies like AWS, Google Cloud, Microsoft Azure Experience with Confluence and Jira to document requirements, user stories and technical designs. Required Education Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Education Bachelor's or Master's degree in Computer Science or a related discipline The hiring range for this position in Orlando is $148,300.00 - $180,000.00 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.

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details

Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details