Lead AI Engineer – Gen AI Platform Services

Capital One

Lead AI Engineer building scalable generative AI platforms for Capital One banking. Developing LLM infrastructure, optimization techniques, and responsible AI services.

Posted 9/11/2026full-timeSan Jose • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $197,300 - $245,600 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 large language model optimization and scalable AI solutions. Proficient in leveraging cloud platforms and open-source technologies to enhance AI system performance and governance.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentLarge Language Model InferencePython ProgrammingAWS Cloud DeploymentAI Service Design And Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Software DevelopmentMachine Learning AlgorithmsModel EvaluationOptimization TechniquesSimilarity SearchVectorDBsGuardrailsFoundation Model TrainingExperimentationGovernance

Soft Skills

CollaborationPassion For AI Research

Tools & Technologies

AWS UltraclustersHugging FaceNeMo GuardrailsPyTorchGoogle CloudAzure

Certifications & Qualifications

Bachelor's Degree In Computer ScienceMaster's Degree In AI Or Related Fields

Industry Keywords

AI-Powered ProductsScalable AI SolutionsCloud PlatformsProduction AI Systems

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala

About the role

Key responsibilities & impact

Partner with cross-functional 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 such as 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 4 years of experience developing AI and ML algorithms or technologies; or a Master's degree in these fields plus at least 2 years of such experience
At least 4 years of experience programming with Python, Go, Scala, or Java
Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies, including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production
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 may be considered for a new qualified applicant