Senior AI Engineering Manager — Lead Scalable, Responsible ML

Capital One

Cambridge (MA)

On-site

USD 230,000 - 262,000

Full time

38 hours ago
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Job summary

Capital One is seeking a Sr. Manager, AI Engineer to lead the Intelligent Foundations and Experiences (IFX) team in Cambridge, MA.

You will oversee AI software components including foundation model training, inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, delivering scalable production AI systems. You will attract and retain top AI talent, translate enterprise goals into roadmaps, and collaborate with Research, Data, and Platform teams

Qualifications

  • Bachelor's or Master's degree with 4–6+ years in AI/ML development
  • At least 1 year of people leadership experience
  • Experience deploying scalable and responsible AI solutions on cloud platforms
  • Familiarity with LLMs, vector databases, and model governance

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 OSS and SaaS AI technologies
  • Invent optimization techniques for large-scale AI systems
  • Contribute to long-term AI systems roadmap
  • Mentor and develop team members
  • Translate enterprise AI goals into actionable roadmaps
  • Operationalize Responsible AI with gates and governance
  • Collaborate with Research, Data, and Platform teams to accelerate model lifecycle

Skills

Leadership
AI/ML systems
Cloud platforms
Python
C++
CUDA
Golang
MLOps
Model evaluation

Education

Bachelor's degree in CS/AI/EE/CE or related
Master's degree in CS/AI/EE/CE or related

Tools

AWS
GCP
Azure
Huggingface
PyTorch
VectorDBs
Guardrails

Job description

Capital One is seeking a Sr. Manager, AI Engineer to lead the Intelligent Foundations and Experiences (IFX) team in Cambridge, MA.

You will oversee AI software components including foundation model training, inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, delivering scalable production AI systems. You will attract and retain top AI talent, translate enterprise goals into roadmaps, and collaborate with Research, Data, and Platform teams

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