Senior Lead AI Engineer – SDKs, Gen AI Evaluation, MCP

Capital One

Senior Lead AI Engineer at Capital One delivering AI-powered products with a focus on machine learning. Collaborating with cross-functional teams to enhance customer and associate experiences through innovation.

Posted 7/21/2026full-timeMcLean • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing AI and ML algorithms, with a strong focus on large language models and foundational AI systems. Proficient in leveraging advanced AI technologies and programming languages to enhance performance and scalability in production environments.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentLarge Language Model OptimizationPython ProgrammingAWS UltraclustersPyTorch

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

AI Algorithm DevelopmentML Algorithm DevelopmentLarge Language Model InferenceModel EvaluationExperimentationGovernanceObservabilityFoundation Model TrainingProgramming With PythonProgramming With Go

Tools & Technologies

HuggingfaceVectorDBsNemo Guardrails

Industry Keywords

Cross-Functional Team CollaborationTechnical VisionLong Term Roadmap

Tech Stack

Tools & technologies

AWSGoJavaOpen SourcePythonPyTorchScala

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.
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.

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 6 years of experience programming with Python, Go, Scala, or Java

Benefits

Comp & perks

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.