Senior AI Foundations Engineer

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 to join the Intelligent Foundations and Experiences team. You will design, train, and deploy AI systems, including foundation models, LLM inference, and multi‑agent workflows, while optimizing performance, cost, and latency.

You will work with a broad stack of tools like PyTorch, Huggingface, and VectorDBs in a production environment. You will lead architecture efforts, set SLOs, collaborate with infrastructure teams to accelerate inference, and mentor

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, or a 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
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One.
• 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.
• 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 the 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/EE/CE or related + 4+ years

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

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 4 to join the Intelligent Foundations and Experiences team. You will design, train, and deploy AI systems, including foundation models, LLM inference, and multi‑agent workflows, while optimizing performance, cost, and latency.

You will work with a broad stack of tools like PyTorch, Huggingface, and VectorDBs in a production environment. You will lead architecture efforts, set SLOs, collaborate with infrastructure teams to accelerate inference, and mentor