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Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Lead and manage a team delivering complex enterprise AI initiatives. Design, prototype, and deploy production-ready LLM and generative AI solutions (copilots, chatbots, RAG systems). Drive solution strategy, technical architecture, prompt engineering, data engineering, vector search, API/microservice integration, cloud-native deployments, and quality evaluation while coordinating stakeholders and ensuring implementation delivers intended business benefits.
Summary Generated by Built In
About this Role
Wells Fargo is seeking a Lead AI Solutions Consultant to accelerate the adoption and delivery of AI-enabled business solutions using Microsoft 365 Copilot, Copilot Studio, and other low-code/no-code AI platforms.
In this role, you will work closely with business stakeholders, architects, and AI leaders to identify opportunities where Generative AI can improve productivity, automate tasks, simplify workflows, and enhance user experiences. You will design, test, and optimize prompts, build AI-powered solutions and prototypes, and help establish reusable patterns and best practices for AI adoption across the organization.
Initially, the role will focus on prompt engineering, Copilot solution development, experimentation, and rapid prototyping. Over time, the role may expand into broader AI solution design and delivery responsibilities.
In this role, you will.
The ideal candidate is a business-focused AI practitioner who can bridge the gap between business needs and AI capabilities. This person is equally comfortable working with stakeholders to define use cases, designing effective prompts, evaluating AI responses, and rapidly prototyping solutions using Copilot and low-code platforms.
Success in this role requires curiosity, experimentation, strong communication skills, and a passion for helping users unlock value from Generative AI technologies.
Provide elastic AI delivery capacity focused on:
29 Sep 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.
Wells Fargo is seeking a Lead AI Solutions Consultant to accelerate the adoption and delivery of AI-enabled business solutions using Microsoft 365 Copilot, Copilot Studio, and other low-code/no-code AI platforms.
In this role, you will work closely with business stakeholders, architects, and AI leaders to identify opportunities where Generative AI can improve productivity, automate tasks, simplify workflows, and enhance user experiences. You will design, test, and optimize prompts, build AI-powered solutions and prototypes, and help establish reusable patterns and best practices for AI adoption across the organization.
Initially, the role will focus on prompt engineering, Copilot solution development, experimentation, and rapid prototyping. Over time, the role may expand into broader AI solution design and delivery responsibilities.
In this role, you will.
- Lead the design and development of AI-enabled business solutions using Microsoft 365 Copilot and related AI platforms.
- Partner with business stakeholders to identify high-value AI use cases and translate business needs into AI-assisted workflows.
- Design, test, evaluate, and optimize prompts to improve response quality, accuracy, and user experience.
- Develop reusable prompt libraries, templates, and best practices aligned to business capabilities and user journeys.
- Build rapid prototypes and proof-of-concepts using low-code/no-code AI development tools.
- Support implementation of AI assistants, copilots, knowledge retrieval experiences, and workflow automation solutions.
- Perform AI solution testing, validation, and quality reviews to ensure solutions meet business objectives.
- Document findings, recommendations, and implementation approaches.
- Support AI enablement efforts by demonstrating solutions, training users, and promoting adoption of AI capabilities.
- Collaborate with architects, data partners, technology teams, and business stakeholders to drive successful AI outcomes.
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Technology, or a related discipline, or equivalent demonstrated experience.
- 5+ years of experience delivering technology, automation, analytics, digital transformation, AI, or software solutions.
- Hands-on experience using Generative AI platforms such as Microsoft 365 Copilot, Copilot Studio, ChatGPT Enterprise, Claude, Gemini, or similar technologies.
- Experience designing, testing, and refining prompts for business use cases.
- Experience working directly with business stakeholders to define requirements and translate business needs into technology solutions.
- Experience building prototypes, proofs-of-concept, or automation solutions using low-code/no-code platforms.
- Understanding of Large Language Models (LLMs), Generative AI concepts, and responsible AI practices.
- Ability to define AI evaluation criteria and assess solution quality and effectiveness.
- Strong communication, facilitation, problem-solving, and consulting skills.
- Ability to work independently in a fast-paced, highly collaborative environment.
- Microsoft 365 Copilot
- Prompt Engineering
- Conversational AI Design
- Generative AI Fundamentals
- AI Solution Testing and Evaluation
- AI Adoption and Enablement
- Low-Code / No-Code Development
- Business Process Automation
- API and Connector Integration
- Requirements Analysis
- Rapid Prototyping
- Basic to Intermediate Python Scripting
- Data Analysis and Manipulation
- REST API Concepts
- JSON and Structured Data Formats
The ideal candidate is a business-focused AI practitioner who can bridge the gap between business needs and AI capabilities. This person is equally comfortable working with stakeholders to define use cases, designing effective prompts, evaluating AI responses, and rapidly prototyping solutions using Copilot and low-code platforms.
Success in this role requires curiosity, experimentation, strong communication skills, and a passion for helping users unlock value from Generative AI technologies.
- Experience with Microsoft Copilot Studio.
- Experience configuring AI agents, actions, connectors, and enterprise knowledge sources.
- Experience building Retrieval-Augmented Generation (RAG) solutions.
- Understanding of semantic search, vector search, and embeddings.
- Experience with Power Platform (Power Automate, Power Apps).
- Experience with Agentic AI concepts and multi-agent architectures.
- Familiarity with LangChain, LangGraph, Semantic Kernel, or similar frameworks.
- Knowledge of enterprise content management, knowledge bases, and document retrieval solutions.
- Experience working within highly regulated industries such as financial services.
Provide elastic AI delivery capacity focused on:
- Prompt engineering
- Microsoft 365 Copilot solutions
- Copilot Studio solutions
- AI-assisted workflow automation
- Business experimentation and rapid prototyping
- AI response evaluation and quality assurance
- AI enablement and user adoption
- As the AI program matures, responsibilities may expand into:
- Advanced AI solution architecture
- Agentic AI solutions
- Retrieval-Augmented Generation (RAG)
- Enterprise AI platforms
- AI governance and operating model support
- End-to-end AI product delivery
29 Sep 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.
Skills Required
- 5+ years of Artificial Intelligence Solutions experience
- 5+ years of software engineering experience (enterprise-scale applications and platforms)
- Expert-level Python programming (OOP, design patterns, multithreading, async, scripting, performance/debugging)
- Strong experience in data engineering and data processing (Spark, Pandas, distributed data frameworks)
- CI-CD deployments and Agile development practices
- 4+ years hands-on building production-ready Generative AI and LLM solutions
- Experience with GPT models, enterprise LLMs, LangChain, LangGraph, RAG, embedding models, and prompt engineering
- Hands-on experience with vector databases and search technologies (Pinecone, OpenSearch, FAISS, ChromaDB or equivalent)
- Strong understanding of NLP, information retrieval, semantic search, and knowledge management
- 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, and Graph Databases (Neo4j) and data modeling
- Understanding of software engineering best practices: testing, code reviews, security, observability, DevOps
- Python development & scripting (listed as critical must-have)
- Data engineering & ETL pipelines (listed as critical must-have)
- Solution design and API development & microservices (listed as critical must-have)
- Experience with Agentic AI, Multi-Agent Architectures, LangChain & LangGraph (intermediate acceptable)
- Experience with Neo4j, knowledge graphs, Databricks/Spark, AI/LLMOps & production deployments (intermediate acceptable)
- Familiarity with Copilot, Copilot Studio, Tachyon AI Studio, Claude (mentioned tooling)
Wells Fargo Compensation & Benefits Highlights
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Healthcare Strength — Health coverage begins on day one with comprehensive medical, dental, and vision options, and the company subsidizes a substantial share of premiums for U.S. employees (varying by compensation band).
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Retirement Support — A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for eligible primary caregivers, alongside fertility coverage, adoption/surrogacy reimbursement, and lactation support.
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The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
