✦ Luna Orbit — AI & Machine Learning

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

at Discover Financial Services

📍 5 Locations Unknown 💰 $197K – $225K USD / year Posted April 03, 2026
Salary $197K – $225K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields; or Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Category AI & Machine Learning

Lead AI Engineer responsible for delivering AI-powered products and foundations, including foundation model training, LLM inference, and scalable AI infrastructure with governance and observability.

  • Partner with cross-functional teams to deliver AI-powered products
  • Design and deploy AI components including training and inference
  • Leverage Open Source and SaaS AI technologies
  • Develop state-of-the-art optimization techniques for AI systems
  • Contribute to long-term AI systems roadmap

Extensive AI/ML engineering scope including LLM concepts, vector databases, guardrails, memory management, and production-grade AI systems across cloud platforms.

The ideal candidate is a senior/lead AI engineer with 4+ years of AI/ML development experience, strong Python/Java/Scala background, and hands-on experience deploying AI services on cloud platforms; adept at building foundation models, LLM inference, and scalable AI infrastructure with governance and observability.

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 platformsExperience designingdevelopingdeliveringand supporting AI servicesExperience developing AI/ML algorithms using PythonC++C#Javaor GolangExperience optimizing training and inference software for hardware utilizationlatencythroughputand costStaying current with AI research and judicious application in production
foundation model trainingllm inferencevectordbsnemo guardrailshuggingfacepytorchai servicesmodel governanceobservabilityexperimentation
Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fieldsexperience developing AI and ML algorithms or technologiesPythonGoScalaJavaLLM inferenceVectorDBsPyTorchHuggingfaceAWS UltraclustersNemo GuardrailsGuardrailsMemoryObservabilityExperimentationGovernance
technical leadershipproblem solvingcommunicationcross-functional collaborationability to articulate findingscuriosity
Industry Banking
Job Function Deliver AI-powered products and foundational AI systems at Capital One.
Role Subtype Lead AI Engineer
Tech Domains Python, Go, Scala, Java, C++, Kubernetes, Docker, Amazon Web Services, Google Cloud Platform, Azure, PyTorch, VectorDBs
Visa Sponsorship Yes
lead ai engineerai engineermachine learningfoundation model trainingllm inferencevectordbsnemo guardrailshuggingfacepytorchaws ultraclusterscapital oneifxagentic aimodel governanceobservabilityexperimentationguardrailsmemorysimilarity searchfoundation model

no cloud deployment experience, less than 2 years in AI/ML, no degree in a relevant field, no sponsorship eligibility

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