Senior AI Engineer - Foundations for Responsible Banking

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

Job summary

Capital One is seeking a Senior AI Engineer in AI Foundations to build responsible AI systems and scalable ML platforms. You will design, train, evaluate, and deploy foundation models, integrate Open Source and SaaS tools, and push optimization to reduce latency and cost.

You will collaborate with engineers, scientists, PMs, and product teams to deliver AI-powered products for customers and associates, shaping the future of AI in banking.

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
• At least 3 years of experience programming with Python, Go, Scala, or Java
• 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience developing, delivering, and supporting AI services
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

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, 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, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state‑of‑the‑art LLM 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.

Skills

Python

Java

Go

Scala

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

AWS

Google Cloud

Azure

Huggingface

VectorDBs

Nemo Guardrails

PyTorch

Job description

Capital One is seeking a Senior AI Engineer in AI Foundations to build responsible AI systems and scalable ML platforms. You will design, train, evaluate, and deploy foundation models, integrate Open Source and SaaS tools, and push optimization to reduce latency and cost.

You will collaborate with engineers, scientists, PMs, and product teams to deliver AI-powered products for customers and associates, shaping the future of AI in banking.