Senior AI Engineer - Scalable ML & Responsible AI

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

Job summary

Capital One is seeking an AI/ML Engineer to design, build, and deploy scalable AI systems, including foundation model training and large-scale inference. You will work with engineers, researchers, PMs, and data scientists to shape production-grade AI capabilities and governance.

The role requires strong software engineering and AI expertise, with opportunities to influence architecture, optimize performance, and mentor senior colleagues in a fast-paced financial tech environment.

Qualifications

• Bachelor's or Master's degree in a related field with at least the stated years of AI/ML experience

Responsibilities

• Partner with cross-functional team to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components
• Leverage Open Source and SaaS AI technologies
• Optimize foundation model performance, latency, and cost
• Contribute to long-term AI system architecture and governance
• Define service-level objectives for AI reliability
• Collaborate with infrastructure to optimize GPUs/TPU usage
• Lead technical reviews for new AI deployments
• Mentor senior engineers on scalable design and production translation

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE or related (4+ years)

Master's degree in CS/AI/EE/CE or related (2+ years)

Tools

AWS

Google Cloud

Azure

Containerization (Docker/Kubernetes)

Job description

Capital One is seeking an AI/ML Engineer to design, build, and deploy scalable AI systems, including foundation model training and large-scale inference. You will work with engineers, researchers, PMs, and data scientists to shape production-grade AI capabilities and governance.

The role requires strong software engineering and AI expertise, with opportunities to influence architecture, optimize performance, and mentor senior colleagues in a fast-paced financial tech environment.