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 |
|---|---|---|
| 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 |
| Senior Manager, Data Science Senior Manager, Data Science role at Capital One Canada, focusing on leading the development and operationalization of data pipelines, machine learning models, and tools to leverage AWS for data-driven decision-making in financial services. The role involves managing talent, exploring data sources, and optimizing business programs. | Serve | 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 |
| Lead Software Engineer Lead Software Engineer role at Capital One, focusing on building cloud-based solutions for financial empowerment. The role involves leading a team, collaborating with product managers, and utilizing various technologies including Java, Python, SQL, Node, Go, Scala, Docker, Kubernetes, and AWS. Experience with interactive AI tooling is preferred. | — | 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 |
| Senior Associate, Product Management - Customer Assist: AI-Ready Tools Product Manager role focused on defining and delivering AI-Ready Tools for the Customer Assist team, enabling a multimodal experience and powering an multi-agentic AI platform to act on customer requests. The role involves defining product requirements, technical specifications, and a scalable delivery pipeline for tool creation to automate customer servicing. | Agent | 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, Technical Program Management Senior Manager, Technical Program Management at Capital One, focused on leading programs that deliver critical business goals and build large-scale products and platforms within the Associate Experience Technology team. The role requires a strong technical background, excellent communication, problem-solving, and influencing skills, with a focus on execution and cross-team collaboration. Experience in data-intensive solutions, distributed systems, cloud architecture, Agile delivery, and highly regulated environments is preferred. The role also mentions leveraging interactive AI tooling to accelerate productivity. | — | 5 |
| Design Research Lead - Manager Level This role focuses on building and utilizing AI agents and research platforms to accelerate learning velocity and build cumulative user intelligence within an enterprise setting. The primary goal is to shift from discrete UX studies to structured, connected research efforts, enabling product teams to access user insights and support the development of useful and usable experiences. | Agent | 5 |
| Manager, Project Management - Associate Experience - Retail Bank Chief of Staff Office This role is a Project Management Manager within Capital One's Retail Bank Chief of Staff Office, focusing on associate experience, workplace solutions, and strategic initiative execution. While the role requires proficiency in using LLMs and AI assistants, its core function is not AI/ML development but rather program management and strategy within a retail banking context. | — | 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 |
| Senior Associate, Data Scientist - Card DFS Integration This role focuses on building and implementing machine learning models for the Discover Card Customer Management Data Science team, aiming to manage and improve underwriting models. It involves leveraging technologies like Python, AWS, and Spark to analyze data and develop models through their full lifecycle, including training and validation, within the fintech domain. | Post-train | 5 |
| Senior Lead Software Engineer, Full Stack - Shopping (Remote Eligible) Senior Lead Software Engineer focused on full-stack development for Capital One Shopping, driving transformation and delivering cloud-based solutions to meet customer needs and regulatory requirements. The role involves leading projects, mentoring engineers, and utilizing various programming languages and cloud services. | — | 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 |
| Manager Data Analyst - Data Strategy and Risk Innovation, PULSE Manager Data Analyst role focused on Data Strategy and Risk Innovation within the PULSE Network at Capital One. The role involves analyzing large datasets to understand anomalies and risk exposure, bridging the gap between technical teams (Data Engineers, Data Scientists) and non-technical stakeholders (Legal, Compliance, Executive Board). Key responsibilities include driving data strategy, conducting root-cause analyses, optimizing risk data architecture, executive reporting, and advising on risk implications of new data strategies. The role emphasizes innovation, simplification, and ensuring data-driven strategies are ethical, explainable, and compliant with regulations. A strong Business Intelligence component is also highlighted. | — | 5 |
| Lead Data Engineer Lead Data Engineer role focused on building a self-service data platform for advanced analytics in a financial services company. The role involves developing tools for data depersonalization, ensuring regulatory compliance, and supporting data-driven decision-making through APIs and user interfaces. It utilizes a modern tech stack including AWS, Spark, and Python. | — | 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 |
| Senior Data Engineer This role is for a Senior Data Engineer at Capital One, focusing on building and pioneering technology solutions within the People Tech division. The engineer will collaborate with Agile teams, design and develop technical solutions, work with machine learning and distributed microservices, and utilize various programming languages and cloud-based data warehousing services. The role involves testing, implementing, and supporting technical solutions, sharing knowledge on tech trends, and mentoring others. While not directly building AI models, the role involves working with teams that do and leveraging AI tooling to accelerate productivity. | — | 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 |