Senior AI Foundations & LLM Engineer (Agentic AI)

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

Job summary

Capital One is seeking an AI Engineer 4 to help build responsible and reliable AI systems for banking applications in Cambridge, MA. You will partner with engineers, scientists, PMs, and product managers to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will design, develop, test, deploy, and support AI components including foundation model training, LLM inference, agents, vector databases, and observability, leveraging PyTorch,

Qualifications

• 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.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products that change how associates work and how customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents and workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve performance, scalability, cost, latency, throughput of large-scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
• Own the end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment.
• Define and maintain service-level objectives (SLOs) for AI reliability including latency, uptime, and model performance drift.
• Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
• Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met.
• Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation.

Skills

Python

Go

Scala

CUDA

Java

Education

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

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

Tools

AWS Ultraclusters

HuggingFace

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 4 to help build responsible and reliable AI systems for banking applications in Cambridge, MA. You will partner with engineers, scientists, PMs, and product managers to deliver AI-powered products that transform how associates work and how customers interact with Capital One.

You will design, develop, test, deploy, and support AI components including foundation model training, LLM inference, agents, vector databases, and observability, leveraging PyTorch,