Enterprise AI Platform - Agentic AI Safety & Security Lead

Wells Fargo & Company•Concord, CA

2d•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation. In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry‑leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high‑impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time‑to‑value while ensuring governance, security, and operational excellence.

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