Lead AI Engineer: Foundations & LLMs for Agentic AI

Capital One; Cambridge (MA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One seeks a Lead AI Engineer in Cambridge, MA to design and deploy AI systems that power real-time customer experiences. You will work with cross-functional teams to advance foundation model training, inference, governance, and observability, leveraging AWS, Huggingface, VectorDBs, and PyTorch.

Ideal candidates have strong engineering and mathematical foundations, 4+ years of Python/Go/Scala/Java experience, and a passion for responsible AI deployment.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with 4+ years of AI/ML experience or a Master’s with 2+ years of experience.
• 4+ years of experience programming with Python, Go, Scala, or Java.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components (LLM inference, training, guardrails, evaluation).
• Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch).
• Contribute to technical vision and long-term roadmap of foundational AI systems.

Skills

Python

Go/Scala/Java

AI/ML fundamentals

Education

Bachelor's degree in Computer Science/AI/EE/CE

Master's degree in Computer Science/AI/EE/CE

Tools

AWS Ultraclusters

Huggingface

VectorDBs

Nemo Guardrails

PyTorch

Job description

Capital One seeks a Lead AI Engineer in Cambridge, MA to design and deploy AI systems that power real-time customer experiences. You will work with cross-functional teams to advance foundation model training, inference, governance, and observability, leveraging AWS, Huggingface, VectorDBs, and PyTorch.

Ideal candidates have strong engineering and mathematical foundations, 4+ years of Python/Go/Scala/Java experience, and a passion for responsible AI deployment.