Senior Lead Artificial Intelligence Solutions ...

Why Wells Fargo Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader u2013 weu2019re 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 u2013 itu2019s about finding all of the elements to help you thrive, in one place. Living the Well Life means youu2019re 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. Youu2019ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And weu2019re recognized for it u2013 Wells Fargo once again ranked in the top three u2013 making us the #1 financial services employer u2013 on the 2025 LinkedIn Top Companies list of best workplaces u201cto grow your careeru201d in the U.S. Join us About this role: Wells Fargo is seeking a Senior Lead Artificial Intelligence Solutions Consultant - 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: 1. Forward Deployment of Agentic AI Products u00b7 Lead end-to-end deployment of agentic AI solutions into live banking operations. u00b7 Embed AI agents directly into operational workflows for automation and decision support. u00b7 Work closely with business and operations teams to move from concept to production. u00b7 Ensure enterprise-grade deployment, scalability, and governance of AI solutions. 2. Discovery, Process Intelligence & Value Realization u00b7 Conduct structured discovery sessions with business and operations stakeholders. u00b7 Analyze process artifacts (SOPs, runbooks, workflows, video recordings, process mining outputs, etc.) to identify AI and automation opportunities. u00b7 Translate operational processes into agentic workflows and solution blueprints. u00b7 Define KPIs and quantify business benefits (cost reduction, cycle time, risk mitigation, productivity gains). u00b7 Build ROI models and value realization frameworks for AI initiatives. 3. Agentic Solution Design, MCP Tools & Workflow Orchestration u00b7 Design and implement agentic AI solutions using process artifacts as input for workflow automation. u00b7 Develop multi-step AI agents capable of reasoning, tool use, and task execution. u00b7 Leverage MCP (Model Context Protocol) tools to integrate LLMs with enterprise systems, APIs, and data sources. u00b7 Enable tool-augmented LLM workflows including function calling, orchestration, and structured outputs. u00b7 Build reusable agent patterns for banking operations use cases (e.g., case resolution, reconciliation, compliance checks). 4. LLM & GenAI Expertise (Hands-on Execution) u00b7 Hands-on experience with LLM platforms including: + Claude (Anthropic) + Gemini (Google) + GPT (OpenAI) u00b7 Design prompt architectures, reasoning chains, and agent workflows. u00b7 Implement RAG (Retrieval-Augmented Generation) and contextual grounding strategies. u00b7 Evaluate model performance, reliability, and enterprise readiness. u00b7 Ensure responsible AI usage, governance, and compliance adherence. 5. Capability Development: Agentic Skills Library & Reusable Assets u00b7 Build and maintain an Agentic Skills Library of reusable capabilities, including: + Task-specific AI agents (e.g., summarization, reconciliation, classification, decision support). + Workflow components (e.g., data extraction, validation, routing, reasoning chains). + Prompt templates, tool-use patterns, and orchestration blueprints. u00b7 Enable systematic reuse of agentic capabilities across multiple banking use cases. u00b7 Establish standards for versioning, governance, and lifecycle management of agent skills. u00b7 Continuously expand the library based on production learnings and new use cases. u00b7 Drive u201cbuild once, reuse everywhereu201d approach for agentic automation. Required Qualifications: u00b7 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: + Productionu2011Grade LLM Agent Deployment : Proven experience designing, deploying, and operating LLMu2011driven agentic systems in production, with attention to reliability, safety, evaluation, and governance in enterprise environments. + Deep LLM Platform Expertise : Handsu2011on mastery of modern LLMs (GPTu20114/4.1, Claude, Gemini, or equivalents), including model selection, promptu2011tou2011model matching, latency/cost optimization, and comparative evaluation. + LLM Reasoning & Prompt Engineering : Advanced capability in prompt engineering, structured reasoning, chainu2011ofu2011thought management, constrained generation, and output validation for realu2011world workflows. + Agentic LLM Architecture & Orchestration : Strong understanding of LLMu2011based agent architectures, including tool calling, function schemas, multiu2011agent coordination, planning loops, memory strategies, and guardrails. + RAG, Context Injection & Knowledge Integration : Practical experience implementing RAG pipelines, embeddings, retrieval strategies, document chunking, reu2011ranking, and contextual grounding to reliably augment LLM outputs. + LLMu2011tou2011Enterprise Integration : Experience integrating LLM agents with enterprise systems using Python (APIs, databases, SaaS tools, internal services) via MCP or comparable LLMu2011integration frameworks. + Python u2011 Based Agentic Systems Engineering: Advanced Python proficiency for building productionu2011grade agentic systems, including planning loops, state management, async execution, and modular service design. + Customeru2011Facing LLM Solution Ownership : Ability to work directly with customers and senior stakeholders to translate business processes into LLMu2011powered agentic solutions, define success metrics, and deliver measurable impact. 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 u2013 3 days on-site & 2 remote) + The ability to travel up to 10% of the time. Posting Location: + Charlotte, NC + Dallas, TX + Irving, TX + Chandler, AZ _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: 8 May 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 unitu2019s 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. Req Number: R-541685

Created: 2026-05-04