✦ Luna Orbit — AI & Machine Learning

Lead AI Engineer

at Discover Financial Services

📍 4 Locations Unknown 💰 $197K – $225K USD / year Posted March 21, 2026
Salary $197K – $225K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

Lead AI Engineer role focused on developing and deploying large language models and AI systems to enhance banking services. Involves working with cutting-edge AI research and scalable infrastructure.

  • Develop AI models
  • Optimize large language models
  • Deploy AI systems
  • Collaborate with research teams
  • Build scalable AI infrastructure

Environment includes PyTorch, Huggingface, VectorDBs, and AI infrastructure tools. Emphasizes NLP, model training, inference, and AI scalability.

The ideal candidate is an AI engineer with experience in large language models, PyTorch, and AI infrastructure, capable of developing and deploying scalable AI systems. They should have a research-oriented mindset and strong problem-solving skills.

Large Language ModelsPyTorchAI Systems
HuggingfaceVectorDBsNLPAI InfrastructureModel OptimizationScalabilityLatencyThroughput
PyTorchHuggingfaceVectorDBsNemo Guardrails
Large Language ModelsPyTorchHuggingfaceVectorDBsAIMLNLPAI InfrastructureModel TrainingModel Inference
Large Language ModelsLLMPyTorchHuggingfaceVectorDBsAIMLMachine LearningAI InfrastructureModel TrainingModel InferenceNLPNatural Language ProcessingAI SystemsAI Software
collaborativeinnovativeresearch-orientedproblem-solvingadaptability
Industry Financial Services / Fintech
Job Function AI model development and deployment in financial services
Role Subtype AI Engineer
Tech Domains PyTorch, Huggingface, VectorDBs, AI
Clearance Required None
Visa Sponsorship No
large language modelsllmpytorchhuggingfacevectorDBsAIMLmachine learningAI infrastructuremodel trainingmodel inferenceNLPnatural language processingAI systemsAI softwarescalabilitylatencythroughputtransformer modelsAI researchdeep learning

Lack of experience with large language models or PyTorch, No background in AI infrastructure or model training, Limited research or development experience in AI

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