Senior AI Engineer: Foundation Models & Agentic AI

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

Job summary

Capital One is hiring an AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services) to join the IFX team in McLean, VA. You will design, train, and deploy AI systems, leveraging a mix of Open Source and SaaS tools, and lead multi-model pipelines with strong governance and cost control.

The role emphasizes scalable, responsible AI and collaboration with engineers, scientists, PMs, and product managers. The ideal candidate has 6+ years in AI/ML, deep Python/Java/CUDA experience, and a track record

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 plus at least 4 years of experience
• 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
• 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
• 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
• Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems
• Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
• Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE or related field

Master's degree in CS/AI/EE/CE or related field

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is hiring an AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services) to join the IFX team in McLean, VA. You will design, train, and deploy AI systems, leveraging a mix of Open Source and SaaS tools, and lead multi-model pipelines with strong governance and cost control.

The role emphasizes scalable, responsible AI and collaboration with engineers, scientists, PMs, and product managers. The ideal candidate has 6+ years in AI/ML, deep Python/Java/CUDA experience, and a track record