Senior Lead AI Engineering – GenAI Platform Services, Agentic Systems

Capital One

Senior Lead AI Engineer building agentic GenAI platform services for Capital One banking. Developing production AI systems, LLM infrastructure, and optimization technologies.

Posted 9/8/2026full-timeSan Francisco • California, Massachusetts, New York • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI and ML algorithms, with a strong focus on LLM inference, similarity search, and optimization techniques. Proficient in leveraging cloud platforms and open-source technologies to deliver scalable AI solutions.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentPython ProgrammingLLM InferenceAWS UltraclustersScalable AI Solutions Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Software DevelopmentMachine Learning AlgorithmsModel EvaluationOptimization TechniquesFoundation Model TrainingSimilarity SearchGuardrails ImplementationExperimentationGovernanceObservability

Soft Skills

Excellent CommunicationPresentation Skills

Tools & Technologies

Hugging FaceVectorDBsNeMo GuardrailsPyTorchCloud Platforms

Industry Keywords

AI-Powered ProductsTechnical VisionLong-Term RoadmapScalabilityCost Optimization

Tech Stack

Tools & technologies

AWSCloudGoJavaOpen 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, 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 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, including LLM inference, similarity search, VectorDBs, guardrails, and memory preferred
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost preferred
Passion for staying current with AI research and applying novel techniques in production
Excellent communication and presentation skills preferred

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 with disabilities