✦ Luna Orbit — AI & Machine Learning

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

at Discover Financial Services

📍 4 Locations Onsite 💰 $229K – $262K USD / year Posted April 03, 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 field OR Master's degree in same OR PhD in related field
Category AI & Machine Learning

Senior Lead AI Engineer steering GenAI platform services, focusing on production-grade AI systems, LLMs, and guardrails across Capital One’s banking platforms.

  • Partner with cross-functional teams to deliver AI-powered products
  • Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference
  • Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
  • Invent LLM optimization techniques
  • Contribute to technical vision and roadmap of foundational AI systems

Technical scope includes Python, Go, Scala, Java; PyTorch; HuggingFace; VectorDBs; Nemo Guardrails; AWS Ultraclusters; Foundation models; LLM optimization and governance.

The ideal candidate is a senior lead AI engineer with 6+ years of AI/ML experience, deep proficiency in Python/Go/Scala/Java, and hands-on experience with LLMs, vector databases, and guardrails on GenAI platforms.

Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 6 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 (e.g. 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
PythonGoScalaJavaPyTorchHuggingFaceVectorDBsNemo GuardrailsAWS UltraclustersFoundation Model TrainingFoundation modelsLLM inferenceSimilarity searchGuardrailsMemoryModel evaluationExperimentationGovernanceObservability
PythonGoScalaJavaLLM InferenceSimilarity SearchVectorDBsGuardrailsMemoryNemo GuardrailsPyTorchHuggingFaceAWS UltraclustersFoundation Model TrainingFoundation modelsLLM optimizationML platform servicesGenAI
CommunicationLeadershipMentoringCross-functional collaborationProblem solvingAdaptability
Industry Banking
Job Function Lead development of GenAI platform services and AI systems for Capital One
Role Subtype Senior Lead AI Engineer
Tech Domains Python, Go, Scala, Java, PyTorch, HuggingFace, VectorDBs, Nemo Guardrails, AWS Ultraclusters, Foundation models
Visa Sponsorship Yes
senior lead ai engineerai engineercapital oneifxfoundation modelsllm inferencevectordbsnemo guardrailshuggingfacepytorchaws ultraclustersawsamazon web servicespythongoscalajavallm optimizationguardrailsmemorymodel evaluationexperimentationgovernanceobservabilitycloud platformsfoundation model training

Bachelor's degree or higher in a related field, 4+ years AI/ML experience for Master’s candidates, On-site requirement in listed locations

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