✦ Luna Orbit — AI & Machine Learning

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

at Capital One Financial

📍 5 Locations Unknown 💰 $197K – $225K USD / year Posted April 05, 2026
Salary $197K – $225K 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
Category AI & Machine Learning

Lead AI Engineer within Capital One's Gen AI platform services to deliver AI-powered products and foundational AI systems, focusing on scalable model training, inference, and optimization.

  • Partner with cross-functional teams to deliver AI-powered products
  • Design, develop, test, and deploy AI components
  • Leverage Open Source and SaaS AI technologies
  • Invent optimization techniques for training and inference
  • Contribute to long-term AI foundational systems roadmap

Hands-on AI systems engineering using PyTorch, HuggingFace, and VectorDBs on cloud platforms (AWS). Responsibilities include foundation model training, LLM inference, guardrails, and observability.

The ideal candidate is a lead AI engineer with 4+ years in AI/ML, strong experience deploying AI services on cloud platforms, and a track record mentoring teams and collaborating across functions to deliver AI-powered solutions.

Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 4 years of experience developing AI and ML algorithms or technologiesAt least 4 years of experience programming with PythonGoScalaor Java
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWSGoogle CloudAzureor equivalent private cloud)Experience designingdevelopingdeliveringand supporting AI servicesExperience 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 systems
Amazon Web ServicesAWSHuggingFacePyTorchVectorDBsNemo GuardrailsUltraclusters
Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields; 4+ years AI/ML; 4+ years Python/Go/Scala/Java
PythonGoScalaJavaPyTorchHuggingfaceVectorDBsNemo GuardrailsAWS Ultraclusters
Strong communicationMentoringCross-functional collaborationProblem solvingLeadership
Industry Banking
Job Function Lead AI engineering efforts to build and deploy scalable AI capabilities at Capital One.
Role Subtype AI Engineer
Tech Domains Python, Go, Scala, Java, PyTorch, HuggingFace, VectorDBs, Nemo Guardrails, Amazon Web Services
Lead AI EngineerMLXAgentic AIGen AI platform Servicesfoundation model traininglarge language model inferencesimilarity searchguardrailsmodel evaluationexperimentationgovernanceobservabilityHuggingfacePyTorchVectorDBsNemo GuardrailsAWS UltraclustersPythonJavaGollm inferencevectorDBsHuggingFace
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