Director, Distinguished AI Engineer

Capital One

full-time

Posted on: 10/21/2025

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

✨ AI Apply

💰 $239,900 - $273,800 per year

Lead

AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala

About the role

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, etc.
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.

Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies
At least 8 years of experience programming with Python, Go, Scala, or Java
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
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
Master's degree in Computer Science, Computer Engineering, or relevant technical field
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 keeping up to date with 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.

Benefits

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Tip: use these terms in your resume and cover letter to boost ATS matches.

AI algorithmsML algorithmsPythonGoScalaJavaC++C#GolangLLM Inference

leadershipmentoringcommunicationpresentationinfluencing stakeholders

Bachelor's degree in Computer ScienceBachelor's degree in EngineeringMaster's degree in Computer ScienceMaster's degree in Computer Engineering