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 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 |
|---|---|---|
| Lead Software Engineer, Back End Lead Software Engineer, Back End role at Capital One, focusing on building and pioneering technology solutions for complex business problems in a fast-paced, collaborative environment. The role involves leading technology projects and a team of developers, collaborating with product managers to deliver robust cloud-based solutions, and utilizing various programming languages and cloud services. The position is within the fintech domain and requires experience in software engineering and cloud computing. | — | 0 |
| Full Time Branch Ambassador - Levittown | — | — |
| Manager, Third Party Risk Management | — | — |
| Part Time Branch Ambassador - North Shore (Nassau) Area | — |
| — |
| Sr. Business Analyst, Financial Institution Group | — | — |
| Business Manager - Business Card & Payments | — | — |
| Business Analysis Manager - Retail and Small Business Bank Orgs | — | — |