Director AI Engineer
$269k - $307k • San Jose, CA • Full-time
Posted 4d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Capital One is seeking a Director AI Engineer to lead the creation of responsible and reliable AI systems that are transforming the banking industry. This role is central to the Intelligent Foundations and Experiences (IFX) team, which advances the state of the art in AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers. You will partner with cross-functional teams to deliver AI-powered products, oversee the design, development, and deployment of AI software components, and make critical build-vs-buy decisions across a broad stack of AI technologies. This position offers the opportunity to invent and introduce state-of-the-art foundation model optimization techniques, contribute to the technical vision and roadmap of foundational AI systems, and attract and retain top talent in the AI industry.
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-vs-buy decisions for Open Source and SaaS AI technologies.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve performance of large-scale production AI systems.
- Contribute to the technical vision and long-term roadmap of foundational AI systems.
- Attract and retain top AI talent and nurture team development.
- Translate enterprise AI strategy into execution plans across multiple product areas.
- Scale AI engineering practices through shared infrastructure, reusable components, and unified observability and governance frameworks.
- Establish enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, documentation, and audit readiness.
- Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet ethical and regulatory standards.
Requirements
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, OR a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies.
- At least 3 years of people leadership experience.
- 5+ years of experience managing and leading an engineering team.
- 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
- Experience in building agentic AI systems and agentic workflows.
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
- Excellent communication and presentation skills.
- Proven ability to expand and execute long-term AI platform strategies.