Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
Currently tracking 241 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Banking · Banking
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 - 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 |
| 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 |
| 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- 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 |