Banking · Banking
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 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.
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 |
|---|---|---|
| Manager, Product Management - Common Capabilities Product Manager role focused on common capabilities for a modern credit card system, enabling data abstraction, quality, and tooling for partners. The role involves defining strategy for agentic tooling, leveraging AI tools for spec-driven development of AI-native products, and managing cross-functional relationships to deliver business-critical value. | — | 5 |
| Credit Review Senior Manager, Horizontal Transformation Lead Senior Manager role focused on leading the AI transformation within Credit Review at Capital One. This involves developing and executing an AI strategy, identifying AI use cases, and partnering with cross-functional teams (including data scientists, analysts, and product managers) to deploy AI solutions like Generative AI chatbots, Agentic AI, and Autonomous Workflows. The role requires a strong understanding of credit risk and the ability to drive automation and AI adoption. | 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 |
| Lead Data Engineer Lead Data Engineer role at Capital One, focusing on designing, developing, and implementing technical solutions using big data technologies and cloud services. The role involves collaboration with Agile teams and digital product managers to deliver robust cloud-based solutions. Experience with machine learning, distributed microservices, and full-stack systems is mentioned, and leveraging interactive AI tooling is a preferred qualification. | — | 5 |
| Manager, Creative Director, Capital One Software (Remote) This role is for a Creative Director at Capital One Software, focusing on leading creative teams to develop marketing campaigns for data management and AI-readiness products. While the role involves leveraging AI tools to enhance creative processes and leadership effectiveness, it is not a core AI/ML development role. The primary focus is on creative strategy and execution for B2B software products. | — | 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 |
| Distinguished Engineer - Card Partnerships Distinguished Engineer role focused on driving AI-powered development within Capital One's Partnership Card organization, aiming to automate workflows and deliver data-driven customer capabilities. The role involves technical vision, architectural discipline, and mentoring, with a focus on scaling AI adoption for engineering productivity. | Ship | 5 |
| Software Engineering Manager - Data Engineering Software Engineering Manager to lead a team of eight Software Engineers in Nottingham, focusing on building and evolving Data capabilities within Capital One's Cloud-based Enterprise Data Ecosystem. The role involves people leadership, technical excellence, delivering the product roadmap, fostering innovation with AI developer tooling, and forging cross-functional partnerships within a complex, regulated financial services environment. | — | 5 |
| Senior Associate, Product Management - Data Integrations (Business Cards & Payments) Product Manager role focused on data integrations within the Open Banking space at Capital One. The role involves architecting data infrastructure, managing permissioned data, bridging business and data needs, building data pipelines, and ensuring compliance. While not directly building AI models, the role requires a demonstrated interest and aptitude for AI, encouraging candidates to showcase personal AI projects or exploration of AI tools. | — | 5 |
| Director, Product Management- Google AI Products Product Management Director role focused on driving adoption, experimentation, and scaling of Google AI products within Capital One. This role involves leading a team of product managers, influencing Google's roadmap, and managing the cultural shift for AI integration across the enterprise. | — | 5 |
| Senior Manager, Project Management - Learning Platforms Operations Lead This role leads the strategy, roadmap, and delivery of learning platform enhancements, with a focus on AI enablement, within a large enterprise. It involves managing project management, governance, and cross-functional alignment to maximize business impact and learner value from learning platforms, particularly the LMS. The role requires defining success measures, leading go-to-market planning for new features, identifying automation opportunities, managing system dependencies, establishing global standards, and building a community focused on learning governance. It also involves translating organizational needs into business cases for new L&D capabilities and AI enablement. | — | 5 |
| Sr Manager, Product Management - Risk Management Product Manager role focused on Risk Management within Capital One, leveraging an AI-first mindset and tools like Gemini and Windsurf to transform risk management through technology and user-centric digital experiences. The role operates within a Product Trio and requires experience in product management and a quantitative background. | — | 5 |
| Sr Lead Software Engineer, Full Stack (AI) - Shopping (Remote-Eligible) Full stack engineer focused on AI for Capital One Shopping, driving transformation by developing next-generation AI solutions and collaborating with product managers to deliver robust cloud-based solutions. Requires experience with AI Tooling and LLMs. | Ship | 5 |
| Senior Lead Software Engineer, Full Stack Senior Lead Software Engineer, Full Stack role at Capital One in Chicago, IL, focusing on leading technology projects and teams to create cloud-based solutions for financial empowerment, with experience in distributed microservices and full stack systems. The role involves collaboration with product managers, utilizing various programming languages and AWS services, and potentially coding or evaluating code. Experience leveraging interactive AI tooling for productivity is preferred. | — | 5 |
| Director, Product Management Director of Product Management at Capital One Canada, focusing on re-imagining customer interactions with money through a portfolio of products. The role involves defining strategy, prioritizing work, fostering partnerships with technology and design, and leading a team of Product Managers to deliver customer value and business impact within a regulated fintech environment. While AI is mentioned as a possibility to embrace, the core responsibilities are product strategy, leadership, and execution in a financial services context. | — | 5 |
| Senior Business Manager - Capital One Travel This role is for a Senior Business Manager to own the end-to-end vacation rentals experience at Capital One Travel. The role involves crafting the booking experience for cardholders and building tools for inventory access, margin optimization, and host onboarding. It requires partnering with business development, supporting the P&L, and owning the technical roadmap. The role is expected to be a hands-on practitioner using AI tools for prototyping and validation, and working within an AI agent environment to accelerate development and automate tasks. | Agent | 5 |
| Distinguished Software Engineer - Bank Tech This role focuses on engineering AI-enabled developer workflows and CI/CD pipelines to optimize pipeline performance and improve developer productivity within a large enterprise banking environment. The engineer will architect and operationalize high-scale platform tools and decisioning engines, working with distributed microservices and foundation models. | Serve | 5 |
| Senior Manager, Data Science - Model and Script Enhancement (MASE) Compliance Senior Manager role focused on assessing compliance risk in models and scripts within a financial institution. The role involves owning and driving the assessment process for computer code reviews (CoDIR), identifying high compliance risk scripts, and preparing/reporting assessment results. It also involves identifying opportunities to leverage GenAI for process improvement and automation. Requires a strong background in data analytics, machine learning, and relational databases, with preferred experience in banking regulatory compliance. | — | 5 |
| Manager, Ontology & Data Modeling This role focuses on developing and maintaining enterprise ontologies and data models to support Capital One's Data Strategy. It involves collaborating with various teams, including Machine Learning, to integrate semantic technology into products and services. The role requires advocating for the value of semantic technology and knowledge organization, managing roadmaps, and ensuring adherence to W3C standards for ontologies. | — | 5 |
| Principal Associate, Business Analysis This role is for a Principal Associate, Business Analysis within the Customer Navigator team at Capital One. The team uses AI/ML to aggregate and analyze customer data to resolve complaints. The role involves strategic leadership, execution, and partnership to drive business strategy and identify opportunities to leverage AI/GenAI for customer issue resolution. It requires a strong quantitative orientation and understanding of Statistical/ML models, with a focus on translating business strategy into tangible products and outcomes. | Ship | 5 |
| Manager, Product Management - Connected Finances Product Manager role focused on the open banking revolution, leveraging external financial data to create personalized customer experiences. The role involves building a scalable platform for use cases like credit underwriting and fraud prevention, standardizing user data consent and management, and translating business needs into a technical roadmap. It emphasizes using experimentation, data insights, and AI-driven development to integrate with the financial ecosystem. | — | 5 |
| Manager, Project Management - US Card Servicing AI Strategy This role is a Project Management Manager focused on AI Strategy within US Card Servicing. The primary responsibility is to drive strategies and execute projects for the company's expanding AI ecosystem, ensuring well-managed deployment of AI solutions and mitigating risk. While the role is within an AI-focused team and deals with AI strategy and deployment, the core function is project management and product strategy, not direct AI/ML model development or research. | — | 5 |
| Senior Director, Product Management-Payments Intelligence Senior Director of Product Management for Capital One's Payments Intelligence team, focusing on leveraging transaction data to power consumer experiences, improve engagement, and predict spending. The role involves building AI/ML capabilities into features, managing platform development, and exploring new areas like agentic commerce. This is a leadership role within a high-rated platform serving critical use cases across the business. | Ship | 5 |
| Manager, Product Manager - Activities, Emerging Verticals - Capital One Travel Product Manager to own and scale the Activities vertical within Capital One Travel. This is a greenfield opportunity to build high-impact features from scratch and define the roadmap. The role involves AI-native development, using tools like Claude for prototyping and QA, and aims to create "magic moments" across the travel journey. | — | 5 |
| Senior Product Manager - Vacation Rentals, Capital One Travel Product Manager for Capital One Travel's vacation rentals experience, owning both the consumer booking experience and the host/supply-side platform. This role involves crafting the end-to-end experience, managing the P&L, and defining the technical roadmap. The role is expected to be a hands-on practitioner using AI tools for prototyping and development, and working within an AI agent environment. | — | 5 |
| Data Annotator The Emerging Technologies Enablement Team (ETE) performs data labeling tasks that support machine learning model and AI development within the Tech organization and across Capital One. This team plays a critical role in reviewing, evaluating, and annotating data to train AI models with the highest quality, accuracy, relevance, fluency, and compliance standards. | Data | 5 |
| Senior Manager, Project Management - US Card Servicing AI Strategy Senior Manager, Project Management for US Card Servicing AI Strategy at Capital One. This role focuses on driving AI strategies, developing solutions to mitigate risk, and managing the deployment of AI solutions across customer servicing. It involves leading complex projects, designing project plans, partnering cross-functionally, and managing a team of project managers. | — | 5 |
| Senior Associate, Quantitative Analyst - MLRO Develops and enhances market and counterparty credit risk models for Capital Markets, focusing on Value-at-Risk (VaR), Greeks, PFE, and CVA. The role involves creating novel analytical solutions, applying quantitative methods for business performance improvement, and building cloud-based solutions. Requires strong quantitative analysis skills, proficiency in scripting languages like Python, and experience in econometric analysis and machine learning. | Data | 5 |
| Senior Business Manager - GenAI Management Strategy This role focuses on developing frameworks for managing Generative AI and Model risk as the company expands its use of LLMs and Agentic AI systems. The Senior Business Manager will lead and collaborate with professionals to develop, test, and execute risk management practices, impacting the bottom line in a collaborative environment. | — | 5 |
| Principal Associate, International Risk, Strategy & Technology Enablement- Enterprise Services Risk This role focuses on technical risk identification, data governance, and architectural design for secure global operations within the financial sector. While it involves leveraging AI and automation tools for risk analysis and documentation, the core function is not building AI models but rather ensuring secure and compliant technical and data frameworks. The role translates policies into technical requirements and guides data governance standards, with a strong emphasis on international regulations and risk appetites. | — | 5 |
| Intern, Data Scientist - Fall 2026 Intern Data Scientist role at Capital One Canada focusing on leveraging model solutions to solve complex business problems, including fraud detection, customer behavior prediction, financial risk modeling, and search engine marketing optimization. The role involves end-to-end project ownership from problem identification to solution deployment, with responsibilities in data analysis, predictive modeling, and data pipeline development. | Data | 5 |
| Senior Manager, Product Management - Credit Bureau Disputes Lead Product Manager role at Capital One focused on leading tech teams to re-imagine Credit Bureau Reporting and Disputes, with an interest in leveraging AI to simplify and automate processes. The role requires experience in product management, quantitative fields, and translating business strategy into digital products. | — | 5 |
| Principal Associate Data Scientist, Machine Learning This role focuses on building, deploying, and maintaining machine learning models, including Gradient Boosting Machines and Neural Networks, within a financial services context. The data scientist will also develop and optimize model development pipelines, design experiments, and investigate new technologies. Experience with Python, SQL, version control, and ML frameworks is required, with preferred qualifications including cloud platforms, advanced Git, CI/CD, experimental design, and AI agent usage. | Serve | 5 |
| Senior Associate, Product Management- Developer Tooling Product Manager for Developer Tooling, focusing on empowering engineers by owning the context service for AI workflows and defining testing strategies with AI-driven automation to improve developer productivity and tool adoption within a global bank. | Agent | 5 |
| Distinguished Engineer - Card Technology Distinguished Engineer role focused on leading the Fraud and Disputes ecosystem, defenses, and user experiences within Capital One's Card Technology division. The role involves partnering with stakeholders to build scalable and resilient solutions, standardizing capabilities for intelligent decision-making against emerging threats, and defining the vision for integrated defenses. It emphasizes cloud-native solutions and leveraging modern technologies, including AI coding tools. | — | 5 |
| Senior Quantitative Analyst - Global Finance This role focuses on quantitative analysis and modeling within Capital Markets & Analytics, applying machine learning and statistical methods to financial problems like derivatives and fixed income. It involves developing and enhancing analytical frameworks, creating novel solutions, and collaborating on cloud-based data solutions. The position requires expertise in quantitative methods, programming (Python/R/SQL), and communicating complex results. | Data | 5 |
| Distinguished Engineer - Autonomous Deployments Distinguished Engineer role focused on transforming the software delivery value chain using AI/ML for continuous deployment, intelligent automation, predictive testing, and deployment risk assessment within a regulated enterprise ecosystem. The role involves architectural vision, platform leadership, hands-on contribution, and enterprise alignment. | Serve | 5 |
| Senior Associate, Product Management - Athena Data Model Lead Product lead for data models that power AI, agents, and content channels for card servicing policies. Focuses on structuring content for creation and distribution, with a first use case in powering a GenAI conversational assistant. | Agent | 5 |
| Sr. Distinguished Engineer, Acquisitions Platform & SRE Foundations This role is for a Sr. Distinguished Engineer at Capital One, focusing on the Acquisitions Platform & SRE Foundations. The engineer will lead a large team, set technical strategy, and drive innovation in areas like real-time credit decisioning, dynamic offers, and predictive models. A key aspect is arming cross-functional partners with GenAI tools and experimentation frameworks to enable self-service product delivery, aiming to increase card placements. The role involves hands-on coding, decommissioning legacy systems, and establishing an SRE function. While AI/ML is used to enhance credit decisioning and product placement, the core function is platform engineering and SRE for a financial product. | — | 5 |
| Sr. Distinguished Engineer, Card Acquisitions & Growth Platforms Sr. Distinguished Engineer at Capital One focused on Card Acquisitions & Growth Platforms. This role involves leading a large engineering organization (300+ engineers) to set and deliver the technical agenda for foundational platforms. Key responsibilities include making credit decisioning real-time and intelligent, driving innovation with GenAI tools, datasets, and experimentation frameworks, and owning the customer acquisitions data ecosystem. The role requires hands-on full-stack coding and leading the strategy for decommissioning legacy systems and scaling an SRE function. While not a pure architecture role, it involves devising practical solutions, optimizing business outcomes, and mentoring talent. | Agent | 5 |
| Lead Software Engineer, Back End (Kubernetes, Golang, Foundation Model Gateways) Lead Software Engineer responsible for building applications in Golang and Kubernetes, specifically focusing on Foundation Model gateways for LLM inference calls within a fintech company. The role involves leading a team and contributing to cloud-based solutions. | Serve | 5 |
| Lead Data Engineer (Python, AWS, Spark, SQL, Snowflake, Databricks, GenAI) Lead Data Engineer role focused on building data pipelines and platforms for personalized marketing and messaging within a fintech company. Requires experience with Python, SQL, Spark, cloud platforms (AWS), and data warehousing (Snowflake, Databricks). | — | 5 |
| Distinguished Engineer Distinguished Engineer role focused on leading technical innovation and architecture for generative AI tools and services within an enterprise environment. The role involves driving the adoption of AI solutions, integrating vendor software, open-source tools, and cloud-native services, while ensuring compliance, security, and SRE capabilities. It also includes mentoring talent and acting as a technical advisor. | Agent | 5 |
| Senior Manager, Product Management, Enterprise AI/ML Product Manager for an Enterprise AI/ML platform team at Capital One, focusing on building and scaling AI capabilities, managing distributed compute, control plane operations, and cost management. The role requires a technical product leader to define and shape platforms and tools for data scientists and ML engineers, ensuring governance, security, and resiliency. | Ship | 5 |
| Data Analysis Manager - Enterprise Consumer Products This role is for a Data Analysis Manager in Enterprise Consumer Products at Capital One. The manager will drive strategy, build and use models for data testing, work with large datasets, and lead a team of junior analysts. The role emphasizes analytics, data-driven decision-making, and improving operational efficiencies. While not directly building AI models, the role involves using AI tools and building AI workflows, indicating an AI-adjacent function. | — | 5 |
| Lead Software Engineer - Python + LangChain Lead Software Engineer role focused on building full stack systems using Python and LangChain, with a focus on microservices and cloud solutions for financial empowerment, aiming to meet regulatory needs. | Agent | 5 |
| Senior Lead Software Engineer, Full Stack (Solution Architect) Capital One is seeking a Senior Lead Software Engineer, Full Stack (Solution Architect) to provide technical leadership for designing and implementing critical technology solutions. The role involves establishing multi-year, domain destination architectures (DDAs) and setting guardrails, patterns, and best practices for onboarding emerging technologies, specifically multi-agentic AI. The candidate will lead architecture design, conduct trade-off analysis, and explain solutions to various stakeholders and review boards. Experience with Agentic AI and emerging technologies is required, along with a proven track record in enterprise-scale architecture and software engineering. | — | 5 |
| Manager, Product Management - Data Integrations & ERP Modernization (Business Cards & Payments) Product Manager role focused on data integrations and ERP modernization within the Business Cards & Payments organization at Capital One. The role involves developing strategy for how business owners connect their ERP software to Capital One, leading ERP data innovation, and collaborating with partners to use data and AI for customer value and growth. While not directly building AI models, the role encourages and values candidates who have explored AI tools and built automations using AI agents. | — | 5 |
| Manager, Product Management - Product Analytics Product Manager for Marketing Data team, focusing on enterprise standard for customer interaction data. Will own Google Analytics ecosystem, translate clickstream data into business intelligence, and lead strategy for integrating AI into self-service tooling to empower Product Managers with behavioral insights and customer journey illumination. | — | 5 |
| Senior Associate, Product Management- CAPS Product Manager role at Capital One focused on a data product to enhance customer experiences. The role involves defining product roadmaps, gathering requirements, and collaborating with tech teams to deliver personalized financial services while ensuring security and compliance. | — | 5 |