Senior Lead GenAI Platform & AI Infrastructure Engineer

Capital One; Plano (TX); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Senior Lead AI Engineer to advance responsible AI systems and scalable infrastructure in the IFX team. The role partners with engineers, researchers, technologists, and product managers to deliver production AI capabilities including foundation model training, inference, and governance.

Ideal candidates blend deep technical engineering with a passion for applying cutting-edge AI research to production, while driving cross-functional collaboration and architectural

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.
• At least 6 years of experience programming with Python, Go, Scala, or Java

Responsibilities

• Partner with cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Invent and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, throughput of large-scale production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Skills

Python

Go

Scala

Java

Education

Bachelor’s degree

Master’s degree

Tools

AWS

HuggingFace

VectorDBs

Nemo Guardrails

PyTorch

Job description

Capital One is seeking a Senior Lead AI Engineer to advance responsible AI systems and scalable infrastructure in the IFX team. The role partners with engineers, researchers, technologists, and product managers to deliver production AI capabilities including foundation model training, inference, and governance.

Ideal candidates blend deep technical engineering with a passion for applying cutting-edge AI research to production, while driving cross-functional collaboration and architectural