✦ Luna Orbit — AI & Machine Learning

Generative AI (GenAI) Engineering Manager

at Wells Fargo

📍 3 Locations Hybrid 💰 $159K – $305K USD / year Posted March 13, 2026
Salary $159K – $305K USD / year
Type Not Specified
Experience lead
Exp. Years 4+ years
Education Not specified
Category AI & Machine Learning

Wells Fargo is seeking a Generative AI Engineering Manager to lead the development and operationalization of advanced AI/ML and GenAI platforms, focusing on secure, scalable AI solutions across the enterprise.

  • Lead GenAI platform development
  • Manage AI/ML teams
  • Ensure secure model deployment
  • Optimize AI workflows
  • Partner with stakeholders

The role involves designing and deploying large language models, RAG pipelines, and AI-driven workflows using cloud platforms, with a focus on model security, performance, and responsible AI practices.

The ideal candidate is a senior AI/ML engineer with extensive experience in Generative AI and Large Language Models, capable of leading enterprise AI initiatives, deploying models securely, and working across cloud platforms like GCP, AWS, or Azure.

Generative AIAI/MLLarge Language ModelsRAG pipelinescloud platformsmodel deploymentsecurity policiesteam leadership
GPU computevector databasesfeature storesprompt engineeringResponsible AI policies
GCPGoogle Cloud PlatformAWSAzureGPUVector databasesFeature stores
Generative AIGenAIAI/MLLarge Language ModelsLLMRAG pipelinesGPU computeVector databasesFeature storesResponsible AIModel deploymentPrompt engineeringSecurity policiesLeadership
Generative AIGenAIAI/MLLarge Language ModelsLLMRAG pipelinesAI/ML frameworksModel deploymentGPU computeVector databasesFeature storesModel performancePrompt engineeringSecurity policiesResponsible AI
leadershipstrategic thinkingcollaborationproblem-solvingcommunication
Industry Financial Services
Job Function Leading enterprise AI/ML and GenAI platform design, deployment, and operationalization
Role Subtype AI & Machine Learning
Tech Domains Python, Java, TensorFlow, PyTorch, Cloud Platforms, Distributed Systems
Generative AIGenAIAI/MLLarge Language ModelsLLMRAG pipelinesGPU computeVector databasesFeature storesResponsible AIModel deploymentPrompt engineeringSecurity policiesLeadership

Lack of experience with Generative AI or LLMs, No leadership in AI/ML projects, Inability to work in a hybrid environment

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