Wells Fargo Lead Software AI Engineer 

United States, California 

393847531

About this role:

You will be instrumental in designing and implementing scalable AI solutions that leverage cutting-edge models, retrieval-augmented generation (RAG), and orchestration frameworks. You will lead a team of engineers and collaborate closely with product, architecture, and platform teams to bring AI-driven capabilities to life. You will make an impact by architecting andimplementing LargeLanguage Model (LLM) based solutions using frameworks like LangChain, Semantic Kernel, or similar orchestration tools. You willintegrate vectordatabases such as Redis with chunking strategies for semantic search, familiarity search, and contextual memory.

In this role, you will:

• Lead the design, development, and deployment of AI systems with agentic capabilities, including planning, memory, and tool use

• Collaborate with platform teams to integrate AI services with Model Context Protocol (MCP), Agent Development Kit (ADK), and other enterprise systems

• Drive the development of data pipelines, including document chunking, embedding generation, and relevance tuning

• Make decisions to define, evaluate, and fine-tune open-source and proprietary models for specific use cases

• Mentor junior engineers and foster a culture of innovation and experimentation as you stay current with advancements in AI, LLMs, and agentic architectures

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 2+ years of experience with AI/Machine Learning (ML)

• 3+ years of experience building anddeploying LLM-poweredapplications

• 2+ years of experience with agentic AIconcepts includingplanning, memory, tool use

• 2+ years of experiencewith Redis, vectorsearch, and chunking strategies

• 2+ years of experience with GitHub Copilot, OpenAI, Hugging Face, or similar model providers

• 2+ years of experience integrating with enterprise platformslike MCP and ADK

• A BS/BA degree or higher in Computer Science, AI, ML, or related major

Desired Qualifications:

• Experiencewith LangGraph, AutoGen,or similar agent frameworks

• Knowledge of security, compliance,and governance inAI systems

• Contributions to open-source AI projects or publications in the industry

• Excellent verbal, written, and interpersonal communication skills

Job Expectations:

• Willingness to work on-site at stated location on the job opening

• This position offers a hybrid work schedule

• This position is not eligible for Visa sponsorship​

• Relocation assistance is not available for this position

Locations:

• 794 Davis St - San Leandro, California 94577

• 300 South Brevard St - Charlotte, North Carolina 28202

Pay Range:

• California - San Leandro Pay Range: $133,300 - $237,100 USD annual

Pay Range

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.