Senior Lead AI Engineer, Foundations & LLMs

Capital One Financial Corporation

New York (NY)

On-site

USD 251,000 - 286,000

Full time

14 days+
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Job summary

Capital One seeks a Senior Lead AI Engineer to advance AI foundations and build scalable production AI systems. You will collaborate with engineers, researchers, and product managers to deliver AI-powered products that reshape customer experiences.

The role focuses on foundation model training, large language model inference, similarity search, guardrails, and observability within a breadth of OSS and SaaS tools.

Qualifications

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
  • Master's degree plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java

Responsibilities

  • Partner with cross-functional engineers, researchers, PMs, and product managers to deliver AI-powered products
  • Design, develop, test, deploy, and support AI software components including model training and inference
  • Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
  • Invent state-of-the-art LLM optimization techniques for performance, cost, and latency
  • Contribute to the technical vision and the long-term roadmap of foundational AI systems

Skills

Python
Go
Scala
Java

Education

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

Tools

AWS
Google Cloud
Azure
Huggingface
VectorDBs
Nemo Guardrails
PyTorch

Job description

Capital One seeks a Senior Lead AI Engineer to advance AI foundations and build scalable production AI systems. You will collaborate with engineers, researchers, and product managers to deliver AI-powered products that reshape customer experiences.

The role focuses on foundation model training, large language model inference, similarity search, guardrails, and observability within a breadth of OSS and SaaS tools.

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