Lead AI Engineer – Vision Model Customization, VLM

Capital One

Lead AI Engineer developing AI-powered products at Capital One to improve customer experiences. Collaborate with cross-functional teams and leverage state-of-the-art AI technologies.

Posted 6/9/2026full-timeNew York City • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $197,300 - $245,600 per yearWebsite

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 algorithmsML algorithmsPythonGoScalaJavaC++C#LLM InferenceSimilarity Search

Soft Skills

collaborationcommunicationtechnical visionroadmap developmentproblem-solvinginnovationadaptabilitypassion for researchteamworkleadership

Tools & Technologies

AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchGoogle CloudAzurecloud platformsAI servicesobservability

Certifications & Qualifications

Bachelor's degree in Computer ScienceBachelor's degree in AIBachelor's degree in Electrical EngineeringBachelor's degree in Computer EngineeringMaster's degree in Computer ScienceMaster's degree in AIMaster's degree in Electrical EngineeringMaster's degree in Computer Engineering

Industry Keywords

AI-powered productslarge scale production AI systemsmodel evaluationexperimentationgovernanceoptimization techniqueshardware utilizationlatencythroughputcost

Tech Stack

Tools & technologies

AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala

About the role

Key responsibilities & impact

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
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, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
Contribute to the technical vision and the 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 Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, 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 AI research and AI systems

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Performance based incentive compensation
Comprehensive and inclusive set of benefits