Senior Lead - Gen AI Solutions Consultant

About this role: Wells Fargo is seeking a Senior Lead as Forward Deployed Agentic Engineer that will drive the Agentic AI products across the Chief Operating Office, acting as the bridge between product development, operations, and AI engineering. The role focuses on embedding LLM-powered, Agentic workflows directly into enterprise processes, enabling measurable business outcomes, operational transformation, and scalable AI adoption. In this role, you will: Act as an advisor to senior leadership to develop or influence digital products, initiatives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across a functional area within the Digital environment Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Coordinate highly complex activities and guidance to others Provide vision, direction and expertise to senior leadership on implementing innovative and significant digital business plans, programs and initiatives which have significant impact Strategically engage with all levels of professionals and managers across the enterprise Serve as an expert advisor to leadership Required Qualifications: 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 1) Forward Deployment of Agentic AI Products ·          Lead end-to-end deployment of agentic AI solutions into live banking operations Embed AI agents directly into operational workflows for automation and decision support. Work closely with business and operations teams to move from concept to production. Ensure enterprise-grade deployment, scalability, and governance of AI solutions. 2) Discovery, Process Intelligence & Value Realization ·          Conduct structured discovery sessions with business and operations stakeholders. ·         Analyze process artifacts (SOPs, runbooks, workflows, video recordings, process mining outputs, etc.) to identify AI and automation opportunities. Translate operational processes into agentic workflows and solution blueprints. ·         Define KPIs and quantify business benefits (cost reduction, cycle time, risk mitigation, productivity gains). ·         Build ROI models and value realization frameworks for AI initiatives. 3) Agentic Solution Design, MCP Tools & Workflow Orchestration ·          Design and implement agentic AI solutions using process artifacts as input for workflow automation. ·         Develop multi-step AI agents capable of reasoning, tool use, and task execution. ·         Leverage MCP (Model Context Protocol) tools to integrate LLMs with enterprise systems, APIs, and data sources. ·         Enable tool-augmented LLM workflows including function calling, orchestration, and structured outputs. ·         Build reusable agent patterns for banking operations use cases (e.g., case resolution, reconciliation, compliance checks). 4). LLM & GenAI Expertise (Hands-on Execution) ·          Hands-on experience with LLM platforms including: • Claude (Anthropic) • Gemini (Google) • GPT (OpenAI) ·         Design prompt architectures, reasoning chains, and agent workflows. ·         Implement RAG (Retrieval-Augmented Generation) and contextual grounding strategies. ·         Evaluate model performance, reliability, and enterprise readiness. ·         Ensure responsible AI usage, governance, and compliance adherence. 5) Capability Development: Agentic Skills Library & Reusable Assets ·  Build and maintain an Agentic Skills Library of reusable capabilities, including: