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 |
|---|---|---|
| Senior Staff Software Engineer This role is for a Senior Staff Software Engineer at Capital One Canada, focusing on designing and implementing technology solutions aligned with business goals. The role involves creating scalable and secure solution architectures, evaluating new technologies, and overseeing high-level designs. It emphasizes collaboration with cross-functional teams, promoting best practices in architecture and design, and contributing to solutions and strategies that shape the company's future. While the company mentions responsible use of AI in recruitment, the core responsibilities of this engineering role do not involve building or shipping AI/ML models or systems. | — | 0 |
| Senior Associate, Data Analyst This role is for a Senior Associate, Data Analyst at Capital One Canada. The primary focus is on leveraging deep SQL expertise to extract, transform, and analyze large, complex datasets for business insights, particularly in areas like fraud prevention, credit risk, and marketing. The role involves strategic stakeholder partnership, translating technical insights into actionable recommendations, and end-to-end data analysis, including data preparation and transformation. Basic qualifications include 2+ years of professional SQL experience, with preferred qualifications including experience with dbt, cloud environments (AWS), Python, Git, and Linux. |
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| 0 |