Senior Manager, AI Engineering – Gen AI Platform Services

Capital One

Senior Manager leading AI Engineering at Capital One, driving AI capabilities and management of engineering teams in various US locations.

Posted 6/11/2026full-timeSan Francisco • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaOpen SourcePythonPyTorch

About the role

Key responsibilities & impact

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.
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Make high judgment build-vs-buy decisions across 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.
Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
Foster a culture of learning and staying abreast of the state-of-the-art in AI.

Requirements

What you’ll need

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 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 1 year of people leadership experience
3 years of experience managing and leading an engineering team (preferred)
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
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
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.

Benefits

Comp & perks

Health insurance
401(k) matching
Performance-based incentive compensation
Bonuses
Long-term incentives (LTI)
Comprehensive and competitive benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI algorithmsML algorithmsLLM InferenceSimilarity SearchVectorDBsGuardrailsMemoryPythonC++Java

Soft Skills

people leadershipcommunication skillspresentation skillsteam managementcross-functional collaborationtalent attractionnurturing developmentculture of learningarticulating complex conceptsjudicious application of techniques

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in AIBachelor's degree in Electrical EngineeringBachelor's degree in Computer EngineeringMaster's degree in Computer ScienceMaster's degree in AIMaster's degree in Electrical EngineeringMaster's degree in Computer Engineering