About this role:
Wells Fargo is seeking a highly strategic and execution-oriented Senior Lead Artificial Intelligence Consultant to help shape the future of AI-powered transformation across the enterprise. As part of the Chief Operating Office (COO) Artificial Intelligence Center of Excellence (AI COE), this role will identify, design, and deliver innovative Generative AI and Agentic AI solutions that drive business efficiency, enhance customer and employee experiences, and create measurable operational impact.
This is a technical-functional leadership role that requires a unique blend of deep AI expertise, business process transformation experience, and executive-level communication skills. The successful candidate will serve as a trusted advisor to senior leaders, translating complex technical concepts into clear business outcomes while partnering with stakeholders across technology, operations, risk, control, and business organizations.
In this role, you will:
- The Senior Lead AI Consultant will work closely with business and technology teams to uncover high-value AI opportunities, define solution strategies, and lead the end-to-end delivery of AI-enabled capabilities. This role requires the ability to bridge technical implementation with business execution, ensuring solutions are scalable, responsible, and aligned with enterprise priorities.
- Success in this position requires strong expertise in AI technologies, product and solution development, business process optimization, stakeholder management, and the ability to influence and communicate effectively with audiences ranging from engineers and data scientists to executive leadership and senior business partners.
- Partner directly with business and operations leaders to identify high-value opportunities for Generative AI, Agentic AI, and intelligent automation.
- Analyze business processes, user workflows, data, and operational pain points to determine where AI can deliver measurable value.
- Assess opportunities for feasibility, risk, scalability, and reuse, and develop business cases that quantify efficiency, cost, quality, risk, customer experience, and SLA improvements.
- Translate business needs into clear AI solution concepts, requirements, success measures, and implementation roadmaps.
- Lead the end-to-end design of AI and agentic solutions, including workflow orchestration, data integration, human-in-the-loop controls, reusable tools, and enterprise system connectivity.
- Work alongside engineering, architecture, data, product, risk, and operations teams to rapidly prototype, build, and refine solutions based on user feedback and operational results.
- Provide hands-on support during development by resolving requirements, design, integration, and implementation challenges.
- Define and coordinate testing across functional performance, AI quality, controls, user acceptance, resiliency, and production readiness.
- Guide solutions through applicable AI, model, technology, privacy, security, and change-management requirements.
- Lead deployment into business workflows, including operational readiness, user adoption, documentation, training, support models, and transition to production ownership.
- Monitor solution performance and business outcomes after deployment, identify improvement opportunities, and drive ongoing optimization.
- Develop reusable agent skills, tools, integrations, solution patterns, and delivery playbooks that accelerate future implementations and reduce duplication.
- Manage the organization’s Agentic AI roadmap, including opportunity intake, prioritization, sequencing, dependencies, investment needs, and delivery milestones.
- Collaborate with business and technology leaders to align the Agentic AI roadmap with broader product, data, automation, and operational-transformation strategies.
- Serve as the senior technical and functional advisor for AI solution delivery, communicating progress, risks, investment needs, and realized value to executive stakeholders.
- Lead and mentor forward deployed engineers and cross-functional delivery teams, establishing consistent standards for solution quality, responsible AI, execution discipline, and measurable business impact.
Required Qualifications:
- 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
AI & Agentic Engineering: Proven experience leading enterprise-scale Generative AI and Agentic AI products, including autonomous workflows, reasoning systems, and tool-integrated agents with measurable business outcomes.
Enterprise AI Strategy, Operating Model & Governance: Demonstrated ability to design and implement AI operating models, including lifecycle frameworks, governance, and risk controls within highly regulated environments.
Analytics, Data Engineering, Process Intelligence & Transformation: Experience leveraging task mining, behavioral analytics, or digital twin platforms (e.g., SKAN.ai) to drive automation, agentic workflows, and productivity gains.
Multi-Year Roadmap & Transformation Delivery: Track record of defining and executing enterprise AI product roadmaps, aligning cross-functional teams across technology, data, AI/ML, and operations.
Delivery Leadership & Executive Liaison: Proven ability to drive end-to-end product delivery while serving as a strategic liaison between business stakeholders, technology teams, and executive leadership to ensure alignment, transparency, and successful outcomes.
Business Consulting: Strong ability to quantify and communicate ROI for AI investments, including efficiency, SLA, accuracy, and cost improvements at scale.
Solution Architecture: Deep understanding of modern AI/ML architectures (LLMs, RAG, agent frameworks) combined with the ability to influence senior leadership and drive enterprise-wide adoption.
Executive Communication & Consulting Skills: Demonstrated ability to serve as a trusted advisor to executive leadership, translating complex technical and AI concepts into clear, compelling business strategies and outcomes. Proven experience influencing senior stakeholders, leading executive-level discussions, and building consensus across technology, operations, risk, control, and business organizations to drive enterprise-wide transformation initiatives.
Job Expectations:
- This position is NOT eligible for Visa sponsorship.
- Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule – 3 days on-site & 2 remote).
- The ability to travel up to 10% of the time.
Posting Location:
** The Global Operations functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to self-relocation within an agreed upon timeframe. **
Posting End Date:
21 Oct 2026
*Job posting may come down early due to volume of applicants.
