✦ Luna Orbit — AI & Machine Learning

Sr. Lead AI Engineer (MLX)

at Capital One Financial

📍 5 Locations Unknown 💰 $229K – $262K USD / year Posted April 02, 2026
Salary $229K – $262K USD / year
Type Full-Time
Experience lead
Exp. Years 4+ years
Education Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; or Master's degree in these fields
Category AI & Machine Learning

Capital One is hiring a Sr. Lead AI Engineer to design and deploy AI-powered products and foundational AI systems. The role focuses on foundation models, LLM inference, and scalable AI infrastructure within the IFX team to deliver real-time, responsible AI capabilities for customers and associates.

  • Partner with cross-functional teams to deliver AI-powered products
  • Design, develop, test, deploy, and support AI software components (foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability)
  • Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch)
  • Invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost
  • Contribute to technical vision and long-term roadmap of foundational AI systems

Role spans foundation model training, LLM inference, similarity search with VectorDBs, and governance with observability. Stack includes AWS Ultraclusters, Huggingface, PyTorch; languages include Python, Go, Scala, Java; emphasis on optimizing training and inference for latency and cost in production.

The ideal candidate is a senior AI/ML engineer with deep experience building production AI systems, focusing on foundation models, LLM inference, and scalable ML infrastructure. They should lead cross-functional teams and stay current with AI research to apply in production.

Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 6 years of experience developing AI and ML algorithms or technologiesor a Master's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 4 years of experience developing AI and ML algorithms or technologiesAt least 6 years of experience programming with PythonGoScalaor Java
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWSGoogle CloudAzureor equivalent private cloud)Experience designingdevelopingintegratingdeliveringand supporting complex AI systemsDemonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholdersExperience developing AI and ML algorithms or technologies (e.g. LLM InferenceSimilarity Search and VectorDBsGuardrailsMemory) using PythonC++C#Javaor GolangExperience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilizationlatencythroughputand costPassion for staying abreast of the latest AI research and AI systemsand judiciously apply novel techniques in productionExcellent communication and presentation skillswith the ability to articulate complex AI concepts to peers
AWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchAWSAmazon Web Services
foundation model traininglarge language model inferencesimilarity searchguardrailsmodel evaluationexperimentationgovernanceobservabilityHuggingfaceVectorDBsNemo GuardrailsPyTorchAWS UltraclustersAWSAmazon Web ServicesPythonGoScalaJavaLLM optimizationMemorycross-functionalleadership
AWS UltraclustersAmazon Web ServicesHuggingfaceVectorDBsNemo GuardrailsPyTorchfoundation model traininglarge language model inferencesimilarity searchguardrailsmodel evaluationexperimentationgovernanceobservabilityPythonGoScalaJavaLLM optimizationMemorycross-functionalleadership
excellent communication and presentation skillsability to articulate complex AI conceptsteam-orientedproblem-solvingadaptabilityanalytical thinkingleadershipmentoring
Industry Banking
Job Function Lead the development of production-grade AI systems and platforms for Capital One's AI initiatives
Role Subtype AI Engineer
Tech Domains Amazon Web Services, Python, Java, Linux, Kubernetes, Docker, SQL / PostgreSQL
Visa Sponsorship Yes
Sr. Lead AI EngineerCapital Onefoundation model trainingllm inferenceguardrailsobservabilitygovernanceHuggingfaceVectorDBsNemo GuardrailsPyTorchAWS UltraclustersAWSAmazon Web ServicesPythonGoScalaJavaLLM optimizationMemorycross-functionalleadershipproduction AI systemscloud platformshuggingfacepytorchpythonawsamazon web servicesllm optimization
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