Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
Currently tracking 214 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $101k–$392k (avg $230k).
Capital One currently has 294 active AI-related job listings. The majority of these roles are focused on agents, accounting for 28% of the total, followed closely by serving infrastructure at 27%. Engineering is the dominant function, with 237 positions. The company is primarily hiring in the United States, with a significant number of roles also in the United Kingdom. Frequent tech tags include model serving, inference infrastructure, and agent orchestration, suggesting a focus on deploying and managing AI models.
Banking · Banking
Capital One currently has 297 active AI-related roles in our index. The most common open titles are: Lead Machine Learning Engineer (7), Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (7), Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (6), Sr. Lead Machine Learning Engineer (6), Applied Researcher I (5). Most positions are in Engineering and Product.
Capital One's active AI hiring is concentrated in: agents (28%), serving infrastructure (26%), post-training (19%). 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 (289 roles), United Kingdom (5 roles), Philippines (1 role), Mexico (1 role).
Job postings at Capital One most frequently mention: Machine Learning, Production ML Systems, Python, GCP, AWS.
In the past 30 days, Capital One has posted 107 new AI-related roles.
What leadership said about AI on earnings calls (above the line, stacked by event type) vs how many AI roles the company actually posted (below the line). Each side scales to its own peak — read shape, not absolute height.
Trajectory events (left half, cyan) vs active AI roles posted (right half, slate), bucketed by stage. Darker cell = more activity for this company.
Finalized the acquisition of Brex, with the rationale of leveraging Capital One's data and AI assets to drive growth in business payments.
Capital One announced the acquisition of Brex, citing the company's modern tech stack and in-house AI agents for expense management, audit, and future procurement/accounting capabilities as a core strategic rationale.
“This automated platform is the foundation for AI solutions on top of Brex has built and deployed their own in-house AI agents for expense management and audit. And are on the way to procurement payments, and accounting agents.”— Richard Fairbank