✦ Luna Orbit — AI & Machine Learning

Distinguished AI Engineer

at Discover Financial Services

📍 6 Locations Onsite 💰 $269K – $307K USD / year Posted April 03, 2026
Salary $269K – $307K USD / year
Type Full-Time
Experience lead
Exp. Years 6+ 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

Distinguished AI Engineer leading AI/ML initiatives within Capital One’s IFX team, building scalable AI systems and production-ready foundations for GenAI.

  • Partner with cross-functional teams to deliver AI-powered products
  • Design, develop, test, deploy, and support AI components including LLM training and inference
  • Leverage a broad stack of Open Source and SaaS AI technologies
  • Invent state-of-the-art LLM optimization techniques
  • Contribute to technical vision and roadmap of AI systems

Stack includes Python, Go, Scala, Java; Open Source and SaaS AI tech such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch; focus on LLM optimization, training, inference, and governance.

The ideal candidate is a distinguished AI engineer with 6+ years of experience in AI/ML, strong programming in Python/Go/Scala/Java, and deep expertise in foundation models, LLM inference, and guardrails.

Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fields plus at least 8 years of experience developing AI and ML algorithms or technologiesAt least 8 years of experience programming with PythonGoScalaor Java
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWSGoogle CloudAzureor equivalent private cloud)Experience architectingdesigningdevelopingintegratingdeliveringand supporting complex AI systemsDemonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP levelExperience 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 modelsFoundation model trainingLLM inferenceSimilarity searchGuardrailsMemoryModel evaluationExperimentationGovernanceObservability
PythonGoScalaJava8 years of experience programming with PythonGoScalaor JavaPyTorchHuggingFaceVectorDBsNemo GuardrailsFoundation model trainingLarge language model inferenceSimilarity searchGuardrailsMemoryModel evaluationExperimentationGovernanceObservabilityAWSAmazon Web Services
CommunicationLeadershipMentoringCross-functional collaborationProblem solvingAdaptability
Industry Banking
Job Function Lead development of foundational AI systems and GenAI capabilities at Capital One
Role Subtype distinguished ai engineer
Tech Domains Python, Go, Scala, Java, PyTorch, HuggingFace, VectorDBs, Nemo Guardrails, AWS Ultraclusters, Foundation models
Visa Sponsorship Yes
distinguished ai engineerai engineercapital oneifxfoundation model trainingllm inferencevectordbsnemo guardrailshuggingfacepytorchaws ultraclustersawsamazon web servicespythongoscalajavallm optimizationguardrailsmemorymodel evaluationexperimentationgovernanceobservabilitycloud platforms

Bachelor's degree minimum in related field, 4+ years with Master's requirement on AI/ML roles, Inability to work onsite at one of the locations, Lack of experience with foundation models / LLMs

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