Enterprise AI Platform - Agentic AI Product Manager

Wells Fargo•Concord, CA

1d•Hybrid

About The Position

Wells Fargo is seeking an Enterprise AI Platform - Agentic AI Product Manager (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation. Learn more about the career areas and lines of business at wellsfargojobs.com. An experienced Product Manager / Product Owner to define and lead the Agentic AI product strategy as part of the Enterprise AI Platform. This role will enable teams across all lines of business to design, publish, discover, launch, and operate AI agents safely at scale within a highly regulated environment. You will partner closely with platform engineering, security, risk and compliance, and application teams to deliver industry‑leading Agentic AI capabilities including an Agent / MCP Marketplace, designer, orchestration, guardrails, and operations. This is a high‑impact role at the intersection of platform product management, AI innovation, and enterprise transformation. You will help build the foundational agentic capabilities that accelerate time‑to‑value while ensuring trust, governance, and operational excellence across the enterprise. 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

Requirements

5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end‑to‑end—from discovery and roadmap definition through delivery and adoption—with clear success metrics and strong stakeholder alignment
2+ years of hands‑on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift

Nice To Haves

Experience with agentic AI systems, including planning and routing, tool execution, and multi‑step workflows, as well as familiarity with common architectural patterns such as retrieval‑augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent‑to‑tool and agent‑to‑agent connectivity, including concepts similar to MCP‑style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer‑centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self‑service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders

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