Senior AI Engineer

Capital One

Senior AI Engineer building responsible AI systems for Capital One banking. Developing LLM infrastructure, optimization techniques, and AI-powered customer and associate experiences.

Posted 9/10/2026full-timeNew York City • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $161,800 - $201,400 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 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 InferencePython ProgrammingAWS Cloud SolutionsAI Service Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Software DevelopmentMachine Learning AlgorithmsModel EvaluationOptimization TechniquesSimilarity SearchVectorDBsFoundation Model TrainingC++ ProgrammingJava ProgrammingGo Programming

Soft Skills

CollaborationPassion For Research

Tools & Technologies

AWS UltraclustersHugging FaceNeMo GuardrailsPyTorchGoogle CloudAzure

Industry Keywords

AI GovernanceObservabilityScalabilityCost OptimizationLatency Improvement

Tech Stack

Tools & technologies

AWSAzureC++CloudGoJavaPythonPyTorchScala

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, 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 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 such experience
At least 3 years of experience programming with Python, Go, Scala, or Java
Preferred: 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, including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory, using Python, C++, C#, Java, or Golang
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 research and applying novel techniques in production
Strong foundation in engineering and mathematics, with expertise in hardware, software, and AI

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
Potential employment authorization sponsorship for a new qualified applicant
Reasonable accommodations for applicants who require them