Senior Lead AI Engineer: AI Foundations & LLM Systems

COMFORT SYSTEMS; Cambridge (MA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Senior Lead AI Engineer to lead AI foundations and VLM customization in Cambridge, MA. You will collaborate with engineers, researchers, and product managers to build AI-powered products and scalable AI infrastructure.

The role emphasizes foundation models, LLM inference, guardrails, observability, and a cutting-edge stack (PyTorch, Hugging Face, VectorDBs, AWS Ultraclusters). A strong software engineering background and cloud experience are essential.

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
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

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, 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, Nemo Guardrails, PyTorch, and more
• Invent and introduce state-of-the-art LLM 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

Skills

Python

Go

Scala

Java

LLM Inference

Guardrails

Memory

C++

C#

Golang

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

Nemo Guardrails

PyTorch

Job description

Capital One is seeking a Senior Lead AI Engineer to lead AI foundations and VLM customization in Cambridge, MA. You will collaborate with engineers, researchers, and product managers to build AI-powered products and scalable AI infrastructure.

The role emphasizes foundation models, LLM inference, guardrails, observability, and a cutting-edge stack (PyTorch, Hugging Face, VectorDBs, AWS Ultraclusters). A strong software engineering background and cloud experience are essential.