Senior AI Engineer: LLMs & Multi-Model Systems

Capital One; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking an AI Engineer 5 for the New York, NY area to help scale responsible AI systems. You will partner with cross‑functional teams to design and deploy AI software components, including foundation model training and multi‑agent workflows to improve customer interactions.

The role requires strong software engineering and AI research background, with experience in cost‑performance tradeoffs, and the ability to translate research into production systems.

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
• 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
• 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

AI systems leadership

Cloud deployment

LLM inference

Communication

Education

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

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

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

CUDA

Job description

Capital One is seeking an AI Engineer 5 for the New York, NY area to help scale responsible AI systems. You will partner with cross‑functional teams to design and deploy AI software components, including foundation model training and multi‑agent workflows to improve customer interactions.

The role requires strong software engineering and AI research background, with experience in cost‑performance tradeoffs, and the ability to translate research into production systems.