Senior AI Engineering Leader: Scalable, Responsible AI

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

14 days+

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Job summary

Capital One is seeking a Sr. Manager, AI Engineer in McLean, VA to lead cross-functional teams building scalable AI-powered products. You will oversee foundation model work, LLM inference, vector databases, and model optimization to improve performance, cost, and latency.

The role requires strong technical leadership and a passion for responsible AI practices. You will mentor engineers, shape the technical roadmap, and collaborate with Research, Data, and Platform teams to accelerate model

Qualifications

  • Bachelor's degree in Computer Science or related field with 6+ years of AI/ML experience, or a Master’s with 4+ years of AI/ML experience.
  • At least 1 year of people leadership experience

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Oversee design, development, testing, deployment, and support of AI software components.
  • Make build-vs-buy decisions across Open Source and SaaS AI technologies.
  • Invent optimization techniques to improve performance, cost, latency, and throughput of large-scale AI systems.
  • Contribute to the technical vision and long-term roadmap for foundational AI systems.
  • Mentor and develop team members; foster a culture of learning and AI excellence.
  • Translate enterprise AI goals into actionable roadmaps with measurable outcomes.
  • Operationalize Responsible AI with review gates and governance standards.
  • Collaborate with Research, Data, and Platform teams to accelerate model lifecycles.

Skills

AI engineering
Leadership
MLOps
Communication

Education

Bachelor's degree in CS or related field

Job description

Capital One is seeking a Sr. Manager, AI Engineer in McLean, VA to lead cross-functional teams building scalable AI-powered products. You will oversee foundation model work, LLM inference, vector databases, and model optimization to improve performance, cost, and latency.

The role requires strong technical leadership and a passion for responsible AI practices. You will mentor engineers, shape the technical roadmap, and collaborate with Research, Data, and Platform teams to accelerate model

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