AI Engineering Leader — Scale, Guardrails & Impact

Capital One

New York (NY)

On-site

USD 251,000 - 286,000

Full time

9 days ago

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Job summary

Capital One in New York, NY is seeking a Senior Manager, AI Engineering to lead the development of scalable AI systems and high-performance ML platforms. You will partner with engineers, researchers, PMs and stakeholders to drive production AI solutions, optimize latency and costs, implement guardrails, and mentor a growing team of AI professionals.

This role offers collaboration across locations and a path to advance Capital One's responsible AI initiatives while shaping the technical roadmap

Qualifications

  • Bachelor's in CS/AI/EE/CE with 6+ years in AI/ML work.
  • - Master’s in CS/AI/EE/CE with 4+ years in AI/ML work.
  • - At least 1 year of people leadership experience.
  • - 3 years leading an engineering team.
  • - 6 years deploying scalable AI on cloud (AWS/GCP/Azure).
  • - Experience using Python/C++/Java/Golang for AI/ML.
  • - Excellent communication and collaboration skills.

Responsibilities

  • Partner with cross-functional team to deliver AI-powered products.
  • Oversee design, development, testing, deployment, and support AI software components.
  • Make build-vs-buy decisions across OSS and SaaS AI tech.
  • Invent state-of-the-art LLM optimization techniques.
  • Contribute to the technical vision and long-term roadmap.
  • Attract and retain top AI talent and foster development.

Skills

People leadership
AI systems design
Large language models
Cloud platforms
Python
C++
PyTorch
Huggingface
VectorDBs
Observability

Education

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

Tools

AWS
Google Cloud
Azure
Huggingface
PyTorch
Nemo Guardrails
VectorDBs

Job description

Capital One in New York, NY is seeking a Senior Manager, AI Engineering to lead the development of scalable AI systems and high-performance ML platforms. You will partner with engineers, researchers, PMs and stakeholders to drive production AI solutions, optimize latency and costs, implement guardrails, and mentor a growing team of AI professionals.

This role offers collaboration across locations and a path to advance Capital One's responsible AI initiatives while shaping the technical roadmap

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