Director, AI Engineering

Capital One Financial

Quick summary

Work type
On-site
Location
San Jose, CA · San Francisco, CA
Salary
$293,600–$335,100 / yr
Posted
144 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $314k
$163k most similar roles pay here $354k

This role pays more than 93% of similar roles. Most pay $186,375–$255,000 — the shaded band above. At the midpoint, this role pays about $314k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Director, AI Engineering

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As the Director of AI Engineering, you will lead a team responsible for defining and executing the strategic vision for an organization's autonomous AI systems and platforms. Your role involves overseeing the development and deployment of agentic workflows across Capital One, ensuring alignment with business goals through collaboration with senior leaders and cross-functional teams. You will manage the end-to-end lifecycle of AI solutions, from integration to sunsetting legacy offerings, while fostering innovation and ethical practices. Key responsibilities include setting technical best practices, advising on technology selection, and driving adoption of AI tools across the organization. Ideal candidates possess extensive experience in managing engineering teams and a deep technical background in AI/ML, MLOps, and application development.

Skills

Python Java Kubernetes Docker CI/CD MLOps Terraform AWS Azure GCP PostgreSQL MongoDB Git GitHub Jenkins Prometheus Grafana Scikit-learn TensorFlow PyTorch

What you'll do

  • Define and execute the strategic vision and roadmap for an agentic AI platform.
  • Oversee the development, testing, and deployment of autonomous AI systems across Capital One.
  • Guide technical teams in setting best practices for AI orchestration and MLOps.
  • Ensure compliance with industry regulations and ethical AI standards throughout platform lifecycle.
  • Advocate for the platform's strategic value to senior stakeholders and influence enterprise decisions.
  • Make informed build-vs-buy decisions on AI technologies, models, and deployment platforms.

What we're looking for

  • At least 5 years of experience managing and leading an engineering team.
  • Proven ability to define strategic vision and roadmap for AI platforms.
  • Expertise in designing, developing, testing, and deploying agentic workflows.
  • Strong technical leadership in AI/ML, MLOps, and application development.
  • Experience guiding teams on best practices for platform scalability and reliability.
  • Ability to articulate the strategic value of AI platforms to senior stakeholders.
  • Knowledge of industry regulations and ethical AI best practices.

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