✦ Luna Orbit — AI & Machine Learning

Lead AI Engineer (AI Foundations, LLM Customization)

at Capital One Financial

📍 5 Locations Unknown 💰 $197K – $225K USD / year Posted March 17, 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 responsible AI systems, focusing on large language models, model optimization, and AI infrastructure at Capital One.

  • Partner with teams to develop AI models
  • Optimize large language models
  • Deploy AI solutions
  • Ensure AI governance
  • Contribute to AI roadmap

The technical environment includes Python, PyTorch, Huggingface, AWS Ultraclusters, VectorDBs, Nemo Guardrails, and large language models, emphasizing scalable AI system development.

The ideal candidate is a mid-level AI engineer with experience in large language models, deep learning frameworks like PyTorch, and cloud platforms such as AWS. They should be skilled in AI model development, optimization, and deployment, with a passion for innovative research and scalable AI systems.

Partner with cross-functional teamsDesigndeveloptestdeploy AI softwareLeverage open source AI technologiesInvent LLM optimization techniquesContribute to AI system roadmap
Experience with large language modelsAI research familiarityModel governance experienceAI infrastructure experience
AWSHuggingfacePyTorchVectorDBsNemo Guardrails
Partner with cross-functional teamsDesigndeveloptestdeploy AI softwareLeverage open source AI technologiesInvent LLM optimization techniquesContribute to AI system roadmap
PythonPyTorchHuggingfaceAWS UltraclustersVectorDBsNemo GuardrailsLarge Language ModelsLLMModel trainingModel inferenceModel evaluationExperimentationGovernanceObservabilityOpen Source AI technologies
CollaborationProblem-solvingInnovationAdaptabilityTeamworkCommunication
Industry Fintech
Job Function AI model development and deployment
Role Subtype AI & Machine Learning
Tech Domains Python, PyTorch, AWS, Huggingface, Kubernetes
AI engineerMachine LearningDeep LearningLarge Language ModelsLLMPyTorchHuggingfaceAWS UltraclustersVectorDBsNemo GuardrailsModel trainingModel inferenceModel evaluationOpen Source AIAI infrastructuremachine learningdeep learninglarge language modelsAWSmodel training

Lack of experience with large language models, No experience with PyTorch or Huggingface, No cloud platform experience, No research or AI model development background

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