Director, AI Engineering

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Collaborate with engineers, research scientists, technical program managers, and product managers to create AI-driven products.

• Supervise the design, development, testing, deployment, and support of AI software components.

• Manage the training of foundation models, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

• Make decisions regarding build versus buy for open-source and SaaS AI technologies.

• Develop optimization techniques for foundation models to enhance scalability, cost efficiency, latency, and throughput.

• Contribute to the technical vision and strategic long-term roadmap of foundational AI systems.

• Attract and retain AI talent while fostering team development.

• Transform the enterprise AI strategy into actionable portfolio-level execution plans.

• Scale AI engineering practices through shared infrastructure, reusable components, and integrated observability and governance frameworks.

• Establish enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, documentation, and audit readiness.

• Collaborate with research, compliance, and enterprise risk teams to uphold ethical and regulatory standards.

⛳️ Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, along with at least 8 years of experience in developing AI and ML algorithms or technologies; or a Master's degree in the same fields with a minimum of 6 years of experience.

• A minimum of 3 years of leadership experience in managing people.

• Over 5 years of experience in managing and leading an engineering team.

• More than 7 years of experience in deploying scalable and responsible AI solutions on cloud platforms.

• Proficient in developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang.

• Experience in building agentic AI systems and workflows.

• Proven track record of building and leading multi-team AI organizations that deliver multiple enterprise products or capabilities simultaneously.

• Experience in executing long-term AI platform strategies that align with enterprise priorities and regulatory frameworks.

• Familiarity with establishing cross-functional operational rhythms and review cadences, including OKRs, AI governance councils, and quarterly reviews.

• Experience in optimizing models, instance counts, and hardware types based on requirements.

• Capital One is open to sponsoring a new qualified applicant for employment authorization for this role.

🏝️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

• A comprehensive, competitive, and inclusive benefits package supporting overall well-being, including health and financial benefits.

• Reasonable accommodations available for applicants who need them.

• Commitment to equal opportunity and non-discrimination.

• A drug-free workplace.