Senior AI Engineer, AI Foundations

Capital One

Senior AI Engineer building foundation-model training, inference, and optimization systems for Capital One. Delivering responsible, scalable AI capabilities that transform banking products and customer experiences.

Posted 9/11/2026full-timeMcLean • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $161,800 - $201,400 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 cloud-based solutions. Proficient in leveraging advanced AI technologies and frameworks to enhance system performance and scalability.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentLarge Language Model InferenceCloud Platform Deployment (AWS, Google Cloud, Azure)Python ProgrammingState-Of-The-Art Optimization Techniques

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 Software DevelopmentMachine Learning AlgorithmsPython ProgrammingGo ProgrammingScala ProgrammingJava ProgrammingC++ ProgrammingC# ProgrammingLLM Optimization TechniquesSimilarity Search

Tools & Technologies

AWS UltraclustersHugging FaceVectorDBsNeMo GuardrailsPyTorch

Certifications & Qualifications

Bachelor's Degree in Computer Science, AI, Electrical Engineering, or Related FieldsMaster's Degree in Computer Science, AI, Electrical Engineering, or Related Fields

Industry Keywords

AI-Powered ProductsGovernanceObservabilityExperimentationScalabilityCost OptimizationLatency ImprovementThroughput Enhancement

Tech Stack

Tools & technologies

AWSAzureC++CloudGoJavaOpen 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 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 3 years of experience developing AI and ML algorithms or technologies, OR a Master's degree in those fields plus at least 1 year of relevant experience
At least 3 years of experience programming with Python, Go, Scala, or Java
4 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud
Experience developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
Experience with 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
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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 qualified applicants with disabilities