Job Summary

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.

Responsibilities

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.

Desired Qualifications 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

Lead Artificial Intelligence Solutions Consultant

Job Description

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