Capital One currently has 293 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 28% of the total, followed closely by agents at 26% and post-training at 23%. Engineering is the dominant function, with 234 roles, and hiring is primarily concentrated in the United States. Frequent tech tags include model_serving, vector_db, and llm_observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Capital One posted 124 new AI roles, representing a 22% increase compared to the previous 30-day period.
Currently tracking 241 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Capital One currently has 305 active AI-related roles in our index. The most common open titles are: Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (9), Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (8), Applied Researcher I (6), Distinguished Engineer (6), Applied Researcher II (5). Most positions are in Engineering and Research.
Capital One's active AI hiring is concentrated in: serving infrastructure (28%), agents (27%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).
Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.
In the past 30 days, Capital One has posted 96 new AI-related roles. That is a -26% change versus the prior 30 days (130 → 96).
| Title | Stage | AI score |
|---|---|---|
| Product Manager - AI and Automation Product Manager role focused on AI and Automation within Capital One's Finance ecosystem. The role involves merging and modernizing the finance ecosystem through a product-led lens, transitioning from manual processes to automated, holistic solutions. It emphasizes delivering measurable operational leverage and ensuring robust, compliant, and audit-ready change. The team is investing in AI tools and focuses on developing, launching, and using AI responsibly. The role requires proficiency in human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership. | — | 5 |
| Senior Distinguished Engineer - Card Partnerships (Remote-Eligible) Senior Distinguished Engineer role focused on driving AI-powered development and innovation within Capital One's Card Partnerships organization, aiming to enhance credit experiences and automate complex workflows. The role emphasizes technical leadership, architectural discipline, and an AI-first approach to business growth. | Ship |
| 5 |
| Business Director: Capital One Shopping (Remote-Eligible) Business Director role focused on improving and integrating new product, process, and revenue opportunities within the Capital One Shopping business. The role requires a demonstrated interest and aptitude for AI native development, with a preference for candidates who have proactively incorporated AI into personal projects or explored AI-driven development environments. | — | 5 |
| Manager, Data Scientist, Travel Intelligence, Hotels Manager, Data Scientist for Capital One Travel's Hotels domain, focusing on Search & Sort and Pricing Optimization. This role involves owning the end-to-end technical strategy, transitioning from offline models to real-time ML solutions, and architecting customer-facing systems. It requires partnering with cross-functional teams and leveraging a broad technology stack to deliver personalized customer experiences. | Ship | 5 |
| Distinguished Engineer ( Fraud & Disputes) Distinguished Engineer role focused on leading fraud defenses and user experiences within the Fraud & Disputes domain at Capital One. The role involves partnering with stakeholders to build scalable and resilient solutions, standardizing capabilities for intelligent decision-making, and defining the vision for integrated defenses. It emphasizes cloud-native solutions, modern tech, and design patterns, with opportunities to work with emerging technologies like AWS, Java, Python, GO, REST, databases, and pipelines. | — | 5 |
| Lead Data Engineer Lead Data Engineer role at Capital One focused on building and scaling data infrastructure and AI-driven decisioning models for financial services. The role involves full-stack development, big data technologies, and cloud computing, with a focus on transforming data into smart decisions. | — | 5 |
| Senior Manager, Product Management - MarTech / AdTech (Enterprise Consumer Products) Product Manager for MarTech/AdTech within Enterprise Consumer Products, focusing on foundational capabilities for customer interactions, data, and AI. This role involves managing platforms for content creation and communication distribution, aiming for data-driven, relevant, and optimized consumer engagement. | — | 5 |
| Sr. Manager, Cyber Risk & Analysis | Retail Bank Premium Products & Experiences This role is a Sr. Manager in Cyber Risk & Analysis for a financial institution, focusing on the responsible implementation and governance of AI, risk assessment for technology integration, and large-scale architecture transformation programs. The individual will partner with business and technology leaders to shape the technology risk posture and ensure the resilience of enterprise technology. | Agent | 5 |
| Distinguished Engineer Distinguished Engineer role focused on defining and implementing the multi-year reliability roadmap and target architectural state for the product portfolio, with a strong emphasis on leveraging Generative AI to enhance automation, code quality, and operational workflows, aiming for autonomous operations and predictive reliability within an enterprise AI context. | Ship | 5 |
| Manager, Product Management - Ventures Lending (Business Cards & Payments) Product Manager role focused on Ventures Lending for small businesses, with a strong emphasis on incorporating AI into personal projects and exploring AI-driven development environments. The role involves driving strategy, product setup, partnerships, and customer support for a mission-based credit card. While not directly building AI models, the candidate is expected to have a demonstrated interest and aptitude for AI and to have used AI tools for problem-solving. | — | 5 |
| Senior Product Manager, Flights Search & Merchandising This role is for a Senior Product Manager at Capital One Travel, focusing on the flights search and shopping experience. The goal is to create a best-in-class experience for cardholders by optimizing flight search results, merchandising strategies, and private fare opportunities. The role involves crafting product roadmaps, translating business objectives into product strategy, and shipping outcomes. It operates in an AI-first environment, requiring active use of AI tools for prototyping and validation, and engagement with an AI agent environment. | — | 5 |
| Senior Lead Software Engineer, Full Stack Senior Lead Software Engineer, Full Stack role at Capital One, focusing on building and pioneering technology solutions for complex business problems in a collaborative environment. The role involves leading technology projects, mentoring developers, collaborating with product managers, and delivering robust cloud-based solutions. It requires experience in distributed microservices, full stack systems, and cloud computing, with a preference for Python, Go, and AWS. | — | 5 |
| Principal Risk Associate, Tech & Cyber Risk | Retail Bank This role focuses on technology and cyber risk management within a financial services institution, specifically partnering with engineering teams to identify, assess, and mitigate risks related to AI implementations and other technology initiatives. It involves end-to-end risk management, project management, stakeholder engagement, and ensuring alignment with enterprise risk frameworks and compliance. | — | 5 |
| Senior Product Manager, AI & Developer Productivity Data Strategy Product Manager role focused on measuring and accelerating developer productivity, specifically defining metrics and data products for AI coding tools and their impact on the software development lifecycle within a large enterprise. The role involves defining measurement frameworks for AI risk, utilization, and impact, and turning telemetry into actionable insights. | Ship | 5 |
| Director, Product Design - AI in Experience Design Director of Product Design focused on integrating AI tools and processes into the design organization at Capital One. This role involves defining AI strategy for design, upskilling talent, and scaling AI adoption across the company, working with tools like Claude and Gemini. | — | 5 |
| Product Director, Capital One Shopping (Remote Eligible) Product Director for Capital One Shopping, focusing on integrating new product and revenue opportunities with merchant partners. The role requires driving cross-functional execution and has a demonstrated interest in AI, though formal experience is not required. The candidate should show how they've used AI for learning, building, and problem-solving beyond basic text generation. Responsibilities include leading engineering teams, defining roadmaps, and partnering with various stakeholders to deliver data platform features and consumer-facing digital products. | — | 5 |
| Lead Software Engineer, Full Stack Lead Full Stack Software Engineer role at Capital One, focusing on building cloud-based solutions for financial empowerment. Requires experience in distributed microservices, full stack systems, and cloud computing (AWS, Azure, GCP). The role involves leading projects, mentoring developers, and collaborating with product managers. Experience with interactive AI tooling is preferred. | — | 5 |
| Director, Product Manager, Product Practice and Enablement Product Manager role focused on transforming product management practices within a financial institution, including modernizing workflows, driving experimentation, and exploring the impact of AI/generative technologies on the PM role. The role emphasizes strategic upskilling, AI-enabled discovery, accelerated experimentation, and refining cross-functional operating models. | — | 5 |
| Senior Associate, Product Management - NPSL Data & Decisioning (Business Cards & Payments) Product Manager role at Capital One within the Business Cards & Payments division, focusing on data and decisioning for No Preset Spend Limit (NPSL) products. The role involves linking business needs with technical implementation, using real-time data and cutting-edge technology. While not a core AI role, candidates are encouraged to have experience with AI tools and personal AI projects. | — | 5 |
| Senior Product Manager – Conversational AI Servicing Quality Assurance Product Manager role focused on the quality assurance and evaluation of conversational AI solutions within an enterprise setting. The role involves driving the integration and roadmap for onboarding AI solutions onto a quality platform, pioneering AI QA capabilities, and scaling automated assessments for consistency and accuracy. | Eval GateAgent | 5 |
| Senior Manager, Product Management - US Card Core Platform & Servicing Product Manager role focused on AI and servicing within the US Card division of Capital One. The role involves leading strategy, development, and execution of AI-leveraged products, including an AI-leveraged source of truth for servicing policies, intelligent tooling for agents, and conversational AI solutions for customer interactions. The position emphasizes customer-centricity, business strategy, technological innovation, and team leadership. | Agent | 5 |
| Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes) This role is for a Senior Lead Software Engineer focused on distributed systems, Golang, Python, and Kubernetes within Capital One's Machine Learning Experience Team (MLX Tech). While the team works with AI/ML and Generative AI, the core responsibilities of this specific role are in building and leading the development of platforms and microservices, with an emphasis on distributed systems and cloud infrastructure. The role involves collaboration with product managers, mentoring engineers, and potentially coding, but the primary focus is on the engineering and infrastructure aspects that support AI/ML solutions, rather than directly building or researching AI models themselves. The role mentions leveraging AI tooling for productivity, indicating an adjacent relationship with AI. | — | 5 |
| Enterprise Payments Governance & Oversight - Data, Insights, and Enablement, Manager - Hybrid Manager role focused on defining and implementing payments governance and oversight for the enterprise. This role will design, implement, and manage data reporting frameworks for compliant risk management, leveraging Generative AI and automated analytics to identify and mitigate risks in payments ecosystems. It involves working with data analytics teams, creating metrics, and delivering executive-level insights across various payment rails. | — | 5 |
| Enterprise Payments Governance & Oversight, Principal Associate - Hybrid This role focuses on enterprise payments governance and oversight, defining and implementing future frameworks for payments governance. It involves risk management, monitoring, and leveraging Gen AI and automation to improve risk monitoring processes and operational efficiency within the financial services domain. The role requires collaboration with stakeholders and defining risk management frameworks for payment rails like RTP, ACH, and wire. | — | 5 |
| Enterprise Payments Governance & Oversight Senior Manager - Hybrid This role focuses on leading a team to define and implement enterprise-wide payment risk management frameworks, with a specific emphasis on leveraging Generative AI and automation capabilities to enhance risk monitoring efficiency. The role involves developing and implementing risk assessment strategies, overseeing governance of payment inventories, and leading the responsible implementation of AI and automation in payments. | Agent | 5 |
| Enterprise Payments Governance & Oversight Manager - Hybrid Manager role focused on enterprise payments governance and oversight, defining and implementing future strategies. The role involves leading transformation of payments risk management practices, utilizing Gen AI and automation for efficiency, and overseeing risk frameworks for payment rails like RTP, ACH, and wire. It requires strong collaboration with 1st and 2nd Line of Defense teams and a deep understanding of payments and regulatory environments. | — | 5 |
| Manager, Product Management Product Manager role at Capital One Canada focused on delivering customer-centric, data-driven products, including those leveraging AI/ML platforms for personalized experiences, fraud detection, and customer assistance programs. Requires experience in product management, strategy, and delivering impactful results within the financial services sector. | — | 5 |
| Distinguished Engineer , Bank Tech (Remote- Eligible) Distinguished Engineer role focused on integrating AI into the software development lifecycle (SDLC) to optimize developer workflow, quality, and reliability within the banking technology sector. The role involves architectural evolution, convergence strategy, and technical leadership to drive innovation and build engineering excellence. | Ship | 5 |
| Senior Lead Software Engineer, Full Stack (Golang, Python, GenAI) (Cloud Operations Resilience Engineering) Senior Lead Software Engineer role focused on Cloud Operations Resilience Engineering, driving enterprise vision for AI-driven systems to automate governance, risk management, and compliance. The role involves designing and implementing intelligent guardrails, leveraging ML for insights, and pioneering modern cloud-native designs. Requires hands-on coding, architecture reviews, and collaboration with data scientists and risk partners. Experience with Golang, Python, and AWS is preferred. | Agent | 5 |
| Senior Business Manager, Future of Retail Bank Servicing Strategy This role is for a Senior Business Manager focused on defining the future of retail bank servicing strategy at Capital One. The role involves analyzing opportunities, partnering with product managers and engineers to identify AI and technology solutions, and ensuring successful execution of investments. It sits at the intersection of AI trends, customer experience, and business strategy, requiring close collaboration with executive leaders across various departments. | — | 5 |
| Principal Associate, Product Management Product Manager role at Capital One Canada focused on delivering AI-powered financial products and services. The role involves managing and scaling data and ML platforms, creating digital solutions for fraud detection and customer engagement, and enhancing customer experiences within the mobile app. Requires strong product management skills, data-driven decision-making, and experience in financial services. | — | 5 |
| Senior Manager, Product Manager, Move & Manage Decisioning Product Manager role focused on protecting customers from account takeover and scams by working across engineering, business analysts, and data science to craft journeys that predict risk and guide customers/associates. The role emphasizes human-centered design, business focus, leveraging technology within a modern data ecosystem, integrated problem-solving with data governance, and transformational leadership in data-driven decision making. | — | 5 |
| Data Analysis Manager - Marketing and Messaging Operations Manager for a marketing data analysis team at a fintech company, focusing on leveraging data and analytics to improve customer experience and marketing strategies. The role involves managing a team, driving strategy, building and using models for testing and validation, and working with large datasets. While AI capabilities are being integrated, the core function is data analysis and management within a marketing context. | — | 5 |
| Sr Director, Software Engineering Senior Director of Software Engineering at Capital One, focusing on leading teams to build and scale mission-critical enterprise platforms for financial products. The role involves modern cloud-native technologies, microservices, and transforming development practices towards AI-native approaches, while also leveraging AI-assisted coding tools. | — | 5 |
| Distinguished Engineer - Card Distinguished Engineer role focused on architecting software and systems for loyalty rewards and benefits, with a strong emphasis on engineering excellence, code contribution, and leveraging AI coding tools to augment software product delivery within the fintech domain. The role involves leading technical vision, mentoring, and ensuring quality and scalability of systems processing high volumes of orders. | — | 5 |
| Lead Data Engineer - Data Transformation (Modeling and Architecture) Lead Data Engineer focused on data transformation, modeling, and architecture within a financial services company. The role involves building and maintaining data models, designing data ecosystems (Data Lake, Data Warehouse), supporting data pipelines with SQL, Spark, and Python, and enforcing data governance. While the role mentions contributing to AI-ready architectures and collaborating with AI/ML teams, its core function is data engineering, not direct AI/ML model development or research. It also mentions leveraging interactive AI tooling for productivity. | — | 5 |
| Principal Associate, Quantitative Analysis This role involves partnering with business lines to enhance modeling and analytical frameworks, creating novel analytical solutions, and identifying opportunities to apply quantitative methods and automation to improve business performance. The role requires applying expertise in econometric, statistical, and machine learning methods to generate insights and provide technical guidance, with a focus on building cloud-based solutions grounded in data. | Data | 5 |
| Senior Manager, Data Scientist -Retail Bank Data Science Experimentation Lead This role leads the Design of Experiments (DoE) and Causal Inference center of excellence within Retail Bank Data Science. The primary focus is on standardizing experimental design, measuring incrementality, and applying causal inference techniques to validate product initiatives and business assumptions before full-scale development. The role involves building experimental infrastructure, consulting on advanced techniques, and partnering with cross-functional teams to deliver data-driven insights for financial products. | — | 5 |
| Software Engineering Manager - Data Engineering (9 Month FTC) Software Engineering Manager for Data Engineering role at Capital One, focusing on leading a team of eight Software Engineers to build and evolve data capabilities within an Enterprise Data Ecosystem. The role involves people leadership, technical direction, product roadmap delivery, and fostering innovation, including advocating for AI developer tooling. Requires experience with data platform technologies (Airflow, Spark, Snowflake) and public cloud (AWS), operating in an Agile and regulated financial services environment. | — | 5 |
| Senior Associate, Business Analysis This role is for a Senior Associate, Business Analysis at Capital One India. The primary focus is on bridging business context with data-driven insights, translating business problems into analytical questions, and communicating complex analytical outputs to stakeholders. While the role operates within a team that uses advanced data methodologies and machine learning, the core responsibilities are focused on business analysis, problem definition, and communication of insights, rather than direct AI/ML model development or deployment. | — | 5 |
| Senior Associate Product Manager – US Card Core Platforms & Servicing Product Manager role focused on core platforms and servicing for US Card at Capital One. The role involves migrating systems to new data infrastructure, building AI-leveraged tooling for customer service, and managing credit bureau disputes. Responsibilities include platform modernization, strategic roadmapping, cross-functional leadership, and risk management. | — | 5 |
| Manager, Product Management - Customer Assist Observability Product Manager for ATLAS (Alerting, Traceability, Logging, Automated controls, & System observability) to spearhead strategy for system safety, automated controls, and robust observability. Role involves building scalable, technology-driven architectures for real-time alerts, compliance, and reduced incident recovery times. Focus on human-centered design, problem-solving, and translating complex challenges into an iterative roadmap to mitigate risks and uncover opportunities in the AI space. | — | 5 |
| Lead Software Engineer, Full Stack (People Tech) Lead Software Engineer role focused on the digital transformation and operational excellence of Capital One's corporate functions, specifically supporting the Mergers & Acquisitions team. The role involves transforming historical data into actionable insights and developing innovative AI tools and web-based applications using Python, JavaScript, TypeScript, AWS, and AI tooling platforms. The engineer will lead projects, collaborate with leadership, and deliver cloud-based solutions. | — | 5 |
| Manager, Data Science - PULSE Network, Business Intelligence Manager, Data Science role at Capital One focused on Business Intelligence and pricing strategy optimization. The role involves leveraging machine learning models throughout their development lifecycle, from design to implementation, using technologies like Python, AWS, H2O, and Spark. The ideal candidate is innovative, creative, statistically-minded, and proficient with large datasets and relational databases. | Post-train | 5 |
| Principal Data Analyst, Card Tech Workforce Strategy This role focuses on leveraging AI-driven automation tools like Google Apps Script, Gemini, and Claude Code to build self-service analytics tools for workforce strategy and operations within Capital One's Card Tech division. The primary goal is to enhance operational impact and provide sophisticated analytics for a large global workforce. | Data | 5 |
| Principal Associate, Data Scientist - Retail Bank Marketing This role focuses on building and operating machine learning models for retail bank marketing, optimizing marketing spend, product recommendations, and new account value estimation. It involves data and model pipelining, machine learning, and model operations using Python and ML libraries. The role also explores next-generation model architectures like embeddings and sequence models. | Post-train | 5 |
| Lead Data Engineer Lead Data Engineer role at Capital One focused on building and pioneering in the technology space, solving complex business problems, and leveraging data with emerging technologies. The role involves collaborating with Agile teams on full-stack development, working with machine learning and microservices teams, utilizing various programming languages and cloud data warehousing services, and mentoring engineers. The position requires experience in application development, big data technologies, and cloud computing. | — | 5 |
| Senior Associate, Product Manager - Business Cards & Payments Product Manager role at Capital One focused on Business Cards & Payments. While not a core AI role, it requires a demonstrated interest and aptitude for AI, encouraging candidates to showcase personal projects, exploration of AI development tools, and building automations with AI agents. The role involves typical product management responsibilities like defining features, prioritizing roadmaps, and collaborating with tech teams, but with an emphasis on understanding and potentially incorporating new AI technologies into customer-facing digital products. | — | 5 |
| Sr. Associate, Product Management Product Manager role focused on a Fraud Decisioning Platform, driving roadmap for capabilities that improve decisioning at scale and rule creation. The role requires a customer-first mindset, collaboration, and a data-driven roadmap balancing automation, ease of use, and resiliency. Experience with AI tools and building requirements for Agentic AI systems is preferred. | Agent | 5 |
| Manager, Product Management - Account Opening Decisioning Product Manager role focused on Account Opening Decisioning within Capital One's Retail Bank. The role involves driving the vision, strategy, and execution for evolving detection capabilities to combat fraud and enhance customer experiences. It requires leveraging data and model strategies in collaboration with Data Science and Engineering teams. | — | 5 |