Lead Artificial Intelligence Solutions Consultant

About this role: Wells Fargo is seeking a Lead Artificial Intelligence Solutions Consultant. who provides flexible/elastic offshore prompt-engineering capacity supporting the applied-AI team. Builds and iterates prompts for point solutions within horizontal toolsets (i.e. copilot, Copilot Studio) and within low code/no code tools i.e. Tachyon AI Studio (claude code/devin if available). Runs rapid experiments and prototype iterations under the direction of the Lead Applied AI Business Architect; and supports evaluation and quality checks. In this role, you will: Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders Resolve issues which may arise during development or implementation Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals Required Qualifications: 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of software engineering experience, with strong expertise in designing and delivering enterprise-scale applications and platforms. Expert-level Python programming skills, including: Object-Oriented Programming (OOP), Design Patterns, Multithreading and Asynchronous Programming, API Development (FastAPI, Flask), Scripting and Automation, Performance Optimization and Debugging, Strong experience in Data Engineering and Data Processing, Experience with Spark, Pandas, and distributed data processing frameworks, CI-CD deployments, Agile principles 4+ years of hands-on experience building production-ready Generative AI and LLM-based solutions expertise in: GPT Models and Enterprise LLMs, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Agentic AI and Multi-Agent Systems, Prompt Engineering, Embedding Models, Vector Search and Semantic Retrieval Experience building enterprise AI applications such as: AI Assistants and Copilots, Intelligent Chatbots, Knowledge Retrieval Platforms, AI-Powered Automation Solutions, Document Intelligence Systems Hands-on experience with vector databases and search technologies such as Pinecone, OpenSearch, FAISS, ChromaDB, or equivalent platforms. Strong understanding of NLP, information retrieval, semantic search, and knowledge management systems. Experience designing and implementing REST APIs, microservices, and cloud-native applications. Strong experience with cloud platforms such as GCP, including AI/ML services and scalable deployment architectures. Experience with database technologies including SQL, NoSQL, Graph Databases (Neo4j), and data modelling. Strong understanding of software engineering best practices, including CI/CD, testing, code reviews, security, observability, and DevOps practices.

Critical Must-Have Skills Python Development & Scripting Data Engineering & ETL Pipelines Solution Design API Development & Microservices Intermediate level experience would work with below:  Generative AI & Large Language Models (LLMs) Agentic AI & Multi-Agent Architectures LangChain & LangGraph Retrieval-Augmented Generation (RAG) Semantic Search & Knowledge Retrieval Vector Databases (Pinecone, OpenSearch, FAISS) Neo4j & Knowledge Graphs Databricks / Spark AI/LLMOps & Production Deployments Posting End Date:   19 Aug 2026 *Job posting may come down early due to volume of applicants. We Value Equal