✦ Luna Orbit — AI & Machine Learning

Lead AI Engineer

at Capital One Financial

📍 4 Locations Unknown 💰 $197K – $225K USD / year Posted March 21, 2026
Salary $197K – $225K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves developing and deploying advanced AI systems, focusing on large language models, AI infrastructure, and responsible AI practices within a financial services context.

  • Partner with cross-functional teams
  • Design, develop, test, deploy AI software
  • Leverage open source and SaaS AI technologies
  • Invent LLM optimization techniques
  • Contribute to technical vision

The technical environment includes Python, PyTorch, Huggingface, AWS Ultraclusters, VectorDBs, Nemo Guardrails, and AI model training and inference techniques.

The ideal candidate is a mid-level AI engineer with experience in machine learning, deep learning, and large language models. They are proficient with PyTorch, Huggingface, and open source AI tools, and have a passion for building scalable AI systems in a collaborative environment.

Partner with cross-functional teamsDesigndeveloptestdeploy AI softwareLeverage open source and SaaS AI technologiesInvent state-of-the-art LLM optimization techniquesContribute to technical vision
Experience with foundation model trainingLarge language model inferenceSimilarity searchAI governanceAI experimentationAI observability
AWS UltraclustersHuggingfacePyTorchVectorDBsNemo Guardrails
Partner with cross-functional teamsDesigndeveloptestdeploy AI software components including foundation model traininglarge language model inferencesimilarity searchguardrailsmodel evaluationexperimentationgovernanceand observabilityLeverage a broad stack of Open Source and SaaS AI technologies such as AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchand more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalabilitycostlatencythroughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
PythonPyTorchHuggingfaceLarge Language ModelsOpen Source AI TechnologiesSaaS AI TechnologiesAWS UltraclustersVectorDBsNemo GuardrailsModel TrainingModel InferenceSimilarity SearchModel EvaluationExperimentationGovernanceObservabilityAI Infrastructure
CollaborationProblem-solvingAdaptabilityCommunicationTeamworkInnovationClarity
Industry Banking/Financial Services
Job Function Developing and deploying AI models and infrastructure for responsible AI systems
Role Subtype AI & Machine Learning
Tech Domains Python, PyTorch, Huggingface, AI Infrastructure, Model Training
AI engineerMachine LearningDeep LearningLarge Language ModelsLLMPyTorchHuggingfaceAI infrastructureModel trainingModel inferenceAI governanceAI observabilityOpen Source AISaaS AIVectorDBsNemo GuardrailsAI optimizationAI experimentationmachine learningdeep learninglarge language modelsmodel trainingmodel inference

Lack of experience with AI model training or inference, No familiarity with open source AI tools, No experience in scalable AI infrastructure, Unwillingness to collaborate across teams

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile