AI Foundations Engineer — Scalable, Responsible AI

Capital One; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Benefits offered by this job

Performance incentives

Health benefits

Job summary

Capital One is seeking an AI Engineer 3 (AI Foundations) in Cambridge, MA / McLean, VA region to build responsible AI systems and scalable AI infrastructure. You will design and productionize AI/ML components, optimize foundation model performance, and drive governance and safety in deployed AI assets.

You will mentor junior engineers and collaborate with research, data engineering, and product teams to deliver AI-powered products with measurable impact for customers and colleagues.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies.
• At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java.

Responsibilities

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics.
• Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments.
• Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies.
• Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science / AI / Electrical Engineering / Computer Engineering or related field

Master's degree in Computer Science / AI / Electrical Engineering / Computer Engineering or related field

Tools

AWS

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 3 (AI Foundations) in Cambridge, MA / McLean, VA region to build responsible AI systems and scalable AI infrastructure. You will design and productionize AI/ML components, optimize foundation model performance, and drive governance and safety in deployed AI assets.

You will mentor junior engineers and collaborate with research, data engineering, and product teams to deliver AI-powered products with measurable impact for customers and colleagues.