Lead Artificial Intelligence Solutions Consultant

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.

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

Posting End Date: 

19 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

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