Senior Lead AI Engineer, LLM Gateway, FM Hosting

Capital One

Senior Lead AI Engineer building LLM gateways, foundation-model hosting, and AI infrastructure for Capital One banking products. Optimizing production systems for scalability, latency, throughput, and cost.

Posted 9/3/2026full-timeSan Jose • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing AI and ML algorithms, with a strong focus on large language models and scalable AI solutions. Proficient in leveraging cloud platforms and open-source technologies to deliver innovative AI-powered products.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentPython ProgrammingLarge Language Model OptimizationCloud Platform DeploymentAI Software Component Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Algorithm DevelopmentML Algorithm DevelopmentPython ProgrammingGo ProgrammingScala ProgrammingJava ProgrammingC++ ProgrammingC# ProgrammingGolang ProgrammingModel Evaluation

Soft Skills

Excellent Communication SkillsPresentation Skills

Tools & Technologies

AWS UltraclustersHugging FaceVectorDBsNemo GuardrailsPyTorch

Industry Keywords

AI SystemsLarge-Scale ProductionFoundation Model TrainingModel InferenceGovernanceObservability

Tech Stack

Tools & technologies

AWSC++CloudGoJavaOpen SourcePythonPyTorchScala

About the role

Key responsibilities & impact

Partner with 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, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage Open Source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, and PyTorch
Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

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 those fields plus at least 4 years of such experience
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 preferred
Experience designing, developing, integrating, delivering, and supporting complex AI systems preferred
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang preferred
Experience developing and applying state-of-the-art techniques for optimizing training and inference software preferred
Passion for staying abreast of the latest AI research and AI systems preferred
Excellent communication and presentation skills preferred
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Employment authorization sponsorship consideration for a new qualified applicant
Reasonable accommodations for applicants who require them