Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

Capital One • San Jose, CA

2d

About The Position

Capital One’s Intelligent Foundations and Experiences (IFX) team builds and deploys proprietary AI solutions and platforms that help teams across the company deliver responsible, scalable AI experiences to millions of customers. The Senior Director, AI Engineering will lead the development of foundational AI systems and agentic AI capabilities that support associates and customer-facing products.

Requirements

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 10 years of experience developing AI and ML algorithms or technologies; or a master’s degree in one of those fields and at least 8 years of such experience.
• At least 5 years of people leadership experience.
• Strong engineering and mathematics foundation, with expertise in hardware, software, and AI.
• Ability to understand scientific publications and apply novel research techniques in production.
• Ability to address undefined problems, investigate root causes, and communicate findings clearly.
• Ability to lead by example and support others’ development.

Nice To Haves

• 7+ years of experience managing and leading an engineering team.
• 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• Experience developing AI and ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang.
• Experience building agentic AI systems and workflows.
• Strong communication and presentation skills, including the ability to explain complex AI concepts to peers.
• Experience leading leaders and multiple AI engineering organizations across product, platform, and applied research.
• Demonstrated success building enterprise-scale AI platforms and capabilities for diverse business lines and customer use cases.
• Ability to influence executive leadership on AI investment strategy, organizational design, and risk management priorities.
• Experience establishing external partnerships or thought leadership in AI industry, academia, or open-source communities.
• Experience right-sizing models, instance counts, and hardware types for requirements such as context length and token inputs and outputs.
• Passion for following AI research and applying new techniques judiciously in production.

Responsibilities

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• Oversee the design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Make build-versus-buy decisions across open-source and SaaS AI technologies.
• Develop and introduce foundation-model optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
• Contribute to the technical vision and long-term roadmap for foundational AI systems.
• Attract and retain AI talent and support team members’ professional development.
• Foster a culture of learning and awareness of advances in AI.
• Define and drive enterprise-wide AI strategy, aligning product, research, risk, and data organizations around shared technical and ethical principles.
• Establish a multi-year roadmap for scalable, reliable, and compliant AI systems serving as shared enterprise infrastructure.
• Promote responsible AI practices, including ethical, transparent, and explainable models.
• Oversee AI operations across production use cases, including model lifecycle management, observability, and cost efficiency.
• Lead and develop engineering teams, including through mentoring and coaching.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligibility to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Director