Staff AI Engineer (Remote) — Foundation AI & Impact

Capital One; Lincoln (NE); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Staff AI Engineer to build responsible and reliable AI systems in a remote-eligible capacity. You will work on foundation model training, large language model inference, and multi-agent workflows, leveraging Open Source and SaaS AI tools like PyTorch and Huggingface.

You will help shape enterprise-wide AI architecture, governance, and observability while mentoring teams and advancing responsible AI practices across projects.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI/ML algorithms or technologies; or a Master's degree plus at least 6 years of experience
• At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Partner with cross-functional team 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 multi-agent 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
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One
• Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams
• Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads
• Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design
• Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds

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 a Staff AI Engineer to build responsible and reliable AI systems in a remote-eligible capacity. You will work on foundation model training, large language model inference, and multi-agent workflows, leveraging Open Source and SaaS AI tools like PyTorch and Huggingface.

You will help shape enterprise-wide AI architecture, governance, and observability while mentoring teams and advancing responsible AI practices across projects.