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Currently tracking 241 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).

Hiring
241 / 262
Momentum (4w)
↓-218 -26%
622 opens last 4w · 840 prior 4w
Salary range · avg $231k
$123k–$392k
USD · disclosed roles only
Tracked since
Aug '25
last role 4w ago
Hiring velocityscroll left for older weeks
1 new role
May 19
1 new role
26
1 new role
Jul 21
1 new role
Aug 25
2 new roles
Sep 8
2 new roles
15
2 new roles
29
1 new role
Oct 13
1 new role
20
5 new roles
27
3 new roles
Nov 3
2 new roles
17
1 new role
24
3 new roles
Dec 1
1 new role
8
5 new roles
15
1 new role
22
1 new role
29
18 new roles
Jan 5
29 new roles
12
12 new roles
19
23 new roles
26
28 new roles
Feb 2
24 new roles
9
22 new roles
16
36 new roles
23
45 new roles
Mar 2
49 new roles
9
57 new roles
16
74 new roles
23
88 new roles
30
129 new roles
Apr 6
135 new roles
13
188 new roles
20
259 new roles
27
314 new roles
May 4
206 new roles
11
158 new roles
18
162 new roles
25
182 new roles
Jun 1
199 new roles
8
155 new roles
15
86 new roles
22

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Capital One hiring for?

    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.

  • What stage of AI development does Capital One focus on?

    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.

  • Where is Capital One hiring AI talent?

    Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).

  • What technologies does Capital One's AI team work with?

    Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.

  • How many AI roles has Capital One posted recently?

    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).

Jobs (5)

245 AI · 1392 total active
FilteredFunctionProduct×CountryMexico×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 8Pretrain · 11Post-train · 70Serve · 84Agent · 82Eval Gate · 1Ship · 49
Function
AllEngineering · 693Product · 660Research · 33
Country
AllUnited States · 1257Canada · 52United Kingdom · 38Philippines · 31Mexico · 14
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Tech Social & Blog Marketing, Senior Associate
This role is for a Tech Social & Blog Marketing Senior Associate at Capital One Mexico. The primary responsibilities include managing the editorial calendar for social and blog posts, overseeing the creative development and approval process, and coordinating with US teams for publishing and reporting. The role also involves leading social associate advocacy recruitment and engagement, and collaborating with peers for strategic alignment. While experience in tech marketing, particularly in AI, Machine Learning, cloud computing, data management, or software engineering, is preferred, the core function is marketing and content management, not AI development.
—ProductMexico City, Mexico3w ago0
Senior Director, Product Management
Senior Director of Product Management at Capital One Mexico, leading strategy for foundational technologies and global platforms. Focuses on platform orchestration, matrixed influence, organizational leadership, iterative infrastructure value delivery, and productizing the developer experience within a large, global financial institution.
—ProductMexico City, Mexico
3w ago
0
Senior Market Manager - Workplace Ops
This role is for a Senior Market Manager in Workplace Operations at Capital One. The primary responsibilities include managing day-to-day relationships with internal customers and external providers for facilities, space planning, food and beverage, and mail services. The role also involves partnering on security strategies, operational excellence, strategy and relationship management, project oversight (budgeting), and risk mitigation. It requires experience in Facilities Management or Relationship Management, and managing facilities for multiple locations.
—ProductMexico City, Mexico5w ago0
Sr Manager, Risk Management
The Sr Manager, Risk Management will support the HR Risk Management Framework within Capital One’s international operations, providing risk and control advisory for HR functions in Mexico and global expansion initiatives. This role ensures HR processes, controls, and risk management activities align with ERM standards, local labor and privacy regulations, and HR operational requirements. The position collaborates with HR, Legal, Compliance, and other Risk functions to maintain a strong control environment, enhance HR governance, and drive continuous improvement in risk and compliance processes.
—ProductMexico City, Mexico7w ago0
Principal Associate, Workforce Planning & Ops.
This role focuses on workforce planning and operational efficiency within Capital One Mexico, involving data consolidation, trend analysis, forecasting talent needs, and process improvement. It requires experience in project leadership, data analysis, and using tools like Google Sheets and Looker Studio.
—ProductMexico City, MexicoMar 230