Lead AI Engineer, IFX — Build Scalable, Responsible AI

Capital One

New York (NY)

On-site

USD 215,000 - 246,000

Full time

10 days ago
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Job summary

Capital One is seeking a Lead AI Engineer for the Intelligent Foundations and Experiences (IFX) team to design, deploy, and scale AI-powered banking solutions. You will collaborate with engineers, researchers, PMs, and product partners to build production-grade AI components, including foundation models, inference pipelines, and guardrails.

You will optimize LLM performance across latency, cost, and throughput, apply cutting-edge research to production, and contribute to the long-term roadmap of

Qualifications

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

Responsibilities

  • Partner with a cross-functional team of engineers, researchers, PMs, and product managers to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, throughput.

Skills

Python
Java
AI systems

Education

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

Tools

AWS
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch

Job description

Capital One is seeking a Lead AI Engineer for the Intelligent Foundations and Experiences (IFX) team to design, deploy, and scale AI-powered banking solutions. You will collaborate with engineers, researchers, PMs, and product partners to build production-grade AI components, including foundation models, inference pipelines, and guardrails.

You will optimize LLM performance across latency, cost, and throughput, apply cutting-edge research to production, and contribute to the long-term roadmap of

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