Lead AI Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
New York, NYMcLean, VACambridge, MASan Jose, CASan Francisco, CA
Employment
Full-time
Posted
101 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $200k
$134k $248k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$237,000.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Lead AI Engineer

The Lead AI Engineer (AI Foundations) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions that power core business functions. In this role, you will partner with cross-functional teams to design, develop, test, deploy, and support AI software components. Key responsibilities include foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for production systems. The technical stack includes AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch, with programming requirements in Python, Go, Scala, or Java. This position addresses the technical challenge of building responsible, scalable, and high-performance AI infrastructure to deliver transformative banking experiences.

What you'll do

  • Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
  • Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability systems.
  • Utilize open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.
  • Apply novel techniques from scientific publications to production environments to solve undefined problems.

What we're looking for

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies.
  • Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
  • At least 4 years of experience programming with Python, Go, Scala, or Java.
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
  • Experience designing, developing, delivering, and supporting AI services (preferred).
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang (preferred).
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).
  • Passion for staying abreast of the latest AI research and AI systems (preferred).

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