AI Platform Engineering Lead

Capital One Group

Cambridge (MA)

On-site

USD 210,000 - 260,000

Full time

5 days ago
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Job summary

Capital One is seeking a Sr. Manager, AI Engineer to lead AI platform services, including Gen AI, Guardrails, Evaluation, and responsible AI practices. You will guide cross-functional teams across engineering, research, PM, and data to deliver scalable AI-powered banking solutions.

You will oversee model training, inference, governance, observability, and deployment, driving state-of-the-art foundation model optimization and long-term AI vision for Capital One.

Qualifications

  • Bachelor's or Master's with required years of AI/ML experience as stated.
  • At least 1 year of people leadership experience.
  • Experience building and leading AI/ML platforms and teams.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Oversee design, development, testing, deployment and support of AI software components.
  • Make high-judgment build-vs-buy decisions across OSS and SaaS AI technologies.
  • Invent optimization techniques to improve performance, latency, and cost.
  • Contribute to long-term technical vision and roadmaps for foundational AI systems.
  • Attract and retain top AI talent and foster team learning and growth.
  • Translate enterprise goals into actionable team roadmaps with measurable outcomes.
  • Operationalize Responsible AI with gates, docs, and rollout standards.
  • Collaborate with Research, Data, and Platform teams to accelerate model lifecycle.

Skills

People leadership
System design
ML/DL algorithms
Hardware optimization
Build-vs-buy decisions

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Job description

Capital One is seeking a Sr. Manager, AI Engineer to lead AI platform services, including Gen AI, Guardrails, Evaluation, and responsible AI practices. You will guide cross-functional teams across engineering, research, PM, and data to deliver scalable AI-powered banking solutions.

You will oversee model training, inference, governance, observability, and deployment, driving state-of-the-art foundation model optimization and long-term AI vision for Capital One.

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