GenAI Platform Engineer - Scalable AI Systems

Capital One; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking an AI Engineer 5 to design, implement, and optimize foundation model pipelines and multi-model orchestration in a performance-driven environment. You will work with engineers, researchers, PMs, and designers to deliver scalable AI-powered banking experiences.

The role involves training models, deploying in production, and ensuring governance, observability, and cost efficiency across complex AI systems at Capital One.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies
• At least 6 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.

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

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 5 to design, implement, and optimize foundation model pipelines and multi-model orchestration in a performance-driven environment. You will work with engineers, researchers, PMs, and designers to deliver scalable AI-powered banking experiences.

The role involves training models, deploying in production, and ensuring governance, observability, and cost efficiency across complex AI systems at Capital One.