Senior AI Foundations & LLM Engineer

Latitude; San Jose (CA); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is hiring an AI Engineer 4 to advance AI foundations, LLM core, and agentic AI within the IFX group. You will partner with engineers, scientists, and PMs to deliver AI-powered products and scalable AI infrastructure in a responsible manner.

The role emphasizes model training, inference, guardrails, governance, and observability, with a focus on performance optimization, reliability, and ethical alignment across large-scale systems.

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
• 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
• 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 (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 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 Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is hiring an AI Engineer 4 to advance AI foundations, LLM core, and agentic AI within the IFX group. You will partner with engineers, scientists, and PMs to deliver AI-powered products and scalable AI infrastructure in a responsible manner.

The role emphasizes model training, inference, guardrails, governance, and observability, with a focus on performance optimization, reliability, and ethical alignment across large-scale systems.