Senior AI Foundations & LLM Engineer

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

Job summary

Capital One is seeking an AI Engineer 4 focused on AI Foundations, LLM customization and finetuning to advance responsible AI in banking. You will design and deliver AI powered products with cross-functional teams.

You will train models, optimize inference pipelines, and help govern and observe production systems while mentoring others. This role requires deep expertise in Python, ML frameworks, distributed systems, and cloud platforms, with a passion for applying research to production and

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
• 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, large language model inference, agents and multi-agent workflows.
• 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, scalability, cost, latency, throughput.
• 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

AI Systems

Distributed Systems

Model Training

ML Inference

CUDA

Education

Bachelor's degree in CS/AI/EE/CE

Tools

AWS

HuggingFace

PyTorch

VectorDBs

CUDA

Job description

Capital One is seeking an AI Engineer 4 focused on AI Foundations, LLM customization and finetuning to advance responsible AI in banking. You will design and deliver AI powered products with cross-functional teams.

You will train models, optimize inference pipelines, and help govern and observe production systems while mentoring others. This role requires deep expertise in Python, ML frameworks, distributed systems, and cloud platforms, with a passion for applying research to production and