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 26% 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 |
|---|---|---|
| Manager, Product Management - AI Strategy & Enablement (Business Cards & Payments) Product Manager to execute technical AI vision, scale AI use cases, data infrastructure, development velocity, and knowledge governance. Design agentic workflows, evaluate LLM models, build agentic-first architectures, and connect AI to business goals. | AgentPost-train | 8 |
| Senior Associate, Product Manager, Card Intelligence Product Manager role focused on leveraging Machine Learning and Generative AI within the Card Intelligence division to build products for fraud prevention, aiming to reduce time-to-market for ML models and improve customer lifecycle management. | Ship |
| 7 |
| Business Manager - Supply Strategy & Intelligence This role focuses on building AI-powered orchestration workflows to identify, evaluate, and acquire vacation rental inventory for Capital One Travel. The Business Manager will define strategies, analyze customer search data, build competitive intelligence pipelines, and automate outreach to property owners, ultimately passing qualified leads to the Business Development team. | Agent | 7 |
| Manager, Product Management - Document Intelligence Product Manager role focused on leveraging GenAI and machine learning for automating document data extraction within an enterprise document management platform. The role involves defining the future of unstructured document data, deploying new experiences for agents and associates, and driving the enterprise scaling of extraction capabilities to decrease operational expenses and unlock new connections. The candidate will operate at the intersection of AI innovation, product data strategy, and enterprise-scale execution. | Agent | 7 |
| Senior Manager, Product Manager, AI Acceleration Product Manager role focused on AI Acceleration within Capital One, leading cross-functional teams to deliver customer-facing AI solutions. The role involves shaping product strategy, working with engineers and data scientists, and understanding language models and generative AI to improve customer and associate experiences. It requires blending human-centered needs with technical understanding of LLMs and designing AI agents. | ShipAgent | 7 |
| Manager, Product Manager, AI Acceleration Product Manager for the AI Acceleration team at Capital One, responsible for leading cross-functional teams through the entire product lifecycle to deliver customer-facing AI solutions. Requires a blend of product-centric thinking, technical understanding of language models and Generative AI, and leadership skills to drive organizational alignment. | Ship | 7 |
| Manager, Product Management - GenAI Transformation (Business Cards & Payments) Product Manager to support the AI transformation for Capital One's Field Sales Organization. The role focuses on enabling GenAI-powered experiences by designing and building a horizontal foundation for shared, trusted context for AI applications, centralizing and standardizing data for downstream AI systems. The role also owns the end-to-end feedback loop strategy for continuous improvement of AI model performance and retraining. | Agent | 7 |
| Director Product Management (AI and Automation) Product Management Director focused on AI and Automation within Capital One's Finance ecosystem. The role involves identifying and launching AI features, designing automated workflows, managing the model lifecycle, ensuring responsible AI innovation with guardrails, and using AI metrics for iteration. The goal is to transition Finance from manual processes to automated, scalable solutions. | ShipAgent | 7 |
| Senior Manager, Product Management - AI Orchestration & Experiences Senior Product Manager to lead the experience layer for Associate Assist, defining complex orchestration logic for AI tools to work seamlessly together. The role requires moving AI Agent architectures from Proof of Concept to Production at scale and designing stateful agent workflows. | Agent | 7 |
| Manager, Product Management Product Management role focused on AI/ML Model Governance within the Machine Learning Experience (MLX) team at Capital One India. The role involves developing product vision and strategy, understanding needs of data scientists and ML engineers, partnering with leadership, and managing product backlogs in an Agile environment. Experience in building Enterprise AI/ML platform products or AI/ML powered products for enterprises is required. | Ship | 7 |
| Manager, Product Management Product Management role focused on AI/ML Model Governance within the Machine Learning Experience (MLX) team at Capital One India. The role involves developing product strategy, understanding needs of data scientists and ML engineers, partnering with leadership, and managing product backlogs for enterprise AI/ML platform products, with a focus on responsible GenAI and ML model deployment. | Ship | 7 |
| Director, Product Management- Enterprise AI Director of Product Management for Enterprise AI, focusing on establishing a unified approach to AI within the Associate Experience (AX) tooling. The role involves building trust, maximizing ROI, preventing silos, and empowering associates. Key responsibilities include defining the AI roadmap, leading product execution for AI agents, driving user enablement, and ensuring cross-functional alignment. The role requires blending product execution with strategic vision for seamless, agentic experiences. | Agent | 7 |
| Business Manager This Business Manager role at Capital One India focuses on modernizing Anti-Money Laundering (AML) processes using advanced analytics, data science, and machine learning models. The team develops data sourcing, predictive models, monitoring, and reporting solutions, with responsibilities including strategic leadership, execution of business requirements, partnership with various departments, and a strong analytical orientation. The role requires experience in quantitative fields, analytics, and ideally econometric/statistical techniques and model development, with a focus on risk management and financial services. | AgentServe | 7 |
| Business Manager This Business Manager role focuses on strategic leadership and execution within Capital One's DataLabs Anti-Money Laundering (AML) team. The role involves developing business strategies, managing project delivery, and partnering with various departments to improve compliance and risk management through advanced data methodologies, statistics, and machine learning models. The ideal candidate has a strong quantitative background, experience in developing and validating ML models, and a passion for innovation in the financial services industry. | DataPost-train | 7 |
| Sr. Director, Product Management - AI/ML Platform Intelligence Sr. Director of Product Management to lead a team responsible for Capital One's Machine Learning and Generative AI platforms, focusing on core platform services for AI/ML that power business applications. Requires technical leadership, experience building products for data scientists and software developers, and familiarity with AI/ML infrastructure and tooling. | ServeAgent | 7 |