Senior AI Engineering Lead: Scale, Vision & Talent

Jobtailor; California (MO); On-site; USD 165,000 - 230,000; Full time

Job summary

Capital One seeks an AI Engineering Leader to drive development of AI-powered products and to guide the design, testing, deployment, and support of foundational AI systems. You will shape the technical vision, optimize LLM workloads, and steer the team toward scalable, responsible AI production.

You will partner with engineers, researchers, and product managers to advance AI roadmaps, recruit top talent, and foster a culture of continuous learning and innovation in AI technologies.

Qualifications

• Bachelors or Masters degree in CS/AI/EE/CE with 4+ years of AI/ML experience.
• At least 1 year of people leadership experience; 3 years leading an engineering team preferred.
• 6 years deploying scalable AI solutions on cloud platforms (preferred).
• Experience developing AI/ML algorithms using Python, C++, C#, Java, or Golang (preferred).
• Strong interest in staying on the cutting edge of AI research and production systems.

Responsibilities

• Partner with engineers, researchers, and PMs to deliver AI-powered products.
• Oversee design, development, testing, deployment, and support of AI components (training, inference, governance, observability).
• Make build-vs-buy decisions across open-source and SaaS AI technologies.
• Invent optimization techniques to improve scalability, cost, latency, and throughput.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.
• Attract and retain AI talent and nurture team development.
• Foster a culture of learning and staying current with AI state of the art.

Skills

Leadership

Cloud deployment

Python

C++

LLM optimization

Communication

Education

Bachelors degree in CS/AI/EE/CE

Masters degree in CS/AI/EE/CE

Tools

Open-Source AI Technologies

SaaS AI Technologies

Cloud Platforms

AI Research Techniques

Job description

Capital One seeks an AI Engineering Leader to drive development of AI-powered products and to guide the design, testing, deployment, and support of foundational AI systems. You will shape the technical vision, optimize LLM workloads, and steer the team toward scalable, responsible AI production.

You will partner with engineers, researchers, and product managers to advance AI roadmaps, recruit top talent, and foster a culture of continuous learning and innovation in AI technologies.