Senior Lead AI Engineer – Gen AI Platform Services, Agentic AI, Guardrails, Evaluation

Capital One

Senior Lead AI Engineer building responsible generative AI platforms for Capital One banking. Developing LLM infrastructure, guardrails, evaluation, and optimization systems.

Posted 9/3/2026full-timeNew York City • 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 deploying AI and ML algorithms, with a strong focus on optimizing performance and scalability of AI systems. Proficient in leveraging cloud platforms and open-source technologies to deliver innovative AI solutions.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentPython ProgrammingAWS Cloud DeploymentLLM Optimization TechniquesTeam Leadership And Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Software DevelopmentMachine Learning AlgorithmsFoundation Model TrainingLLM InferenceSimilarity SearchModel EvaluationExperimentationGovernanceObservabilityScalable AI Solutions

Soft Skills

Excellent CommunicationPresentation Skills

Tools & Technologies

AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchGoogle CloudAzure

Industry Keywords

AI-Powered ProductsTechnical VisionLong-Term RoadmapOpen Source TechnologiesCloud Platforms

Tech Stack

Tools & technologies

AWSAzureC++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, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch
Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of 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
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Preferred: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
Preferred experience designing, developing, integrating, delivering, and supporting complex AI systems
Preferred ability to lead and mentor an engineering team and influence cross-functional stakeholders
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

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
Reasonable accommodations for applicants who require them