AI Solutions Lead

Wells Fargo is seeking an AI Solutions Lead to own AI solution delivery within Wealth & Investment Management. This role blends forward-deployed engineering with product leadership: you will both define the AI solution and rapid-prototype it, then partner with Technology for hardened delivery and with the Chief Product Office product manager who owns the business roadmap.

Responsibilities

• Oversee and sometimes own AI solution delivery end-to-end—from shaping through prototype, evaluation, pilot, and adoption.
• Partner with the CPO product manager to author AI-specific PRDs: users, success metrics, data, pattern, risk tier, and effort.
• Personally build thin-layer applications and configured agents on the paved-road toolchain (Tachyon Agent Studio, Claude Code / Cowork, Copilot), determining the lightest layer that delivers the outcome.
• Produce hand-off blueprints, PRDs, and user stories for WIM Technology to industrialize top-layer platform builds and integrate solutions to systems of record.
• Work with the Model & Eval team to stand up eval harnesses, golden datasets, and regression / accuracy / safety evals—clearing the Stage-3 quality bar before build.
• Prepare governance evidence during prototyping—AIRR, architecture (JAD) review, MRM tiering, and policy / ECM checks.
• Develop business cases and value-realization frameworks; quantify efficiency, quality, scalability, and client-impact benefits.
• Drive stakeholder engagement, change management, pilot cohorts, and field adoption; monitor realized value and identify opportunities to scale.
• Present solution approaches, evaluation results, and delivery roadmaps to senior leadership.

Requirements

• 10+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through work experience, training, military experience, or education.

Qualifications

• Hands-on delivery of AI, machine learning, generative AI, RAG, automation, or agentic solutions—building, not only advising (experience as a Forward Deployed Engineer, Customer Engineer, or Solutions Architect preferred).
• Fluency with low-code / no-code and agent platforms (e.g., Agent Studio, Claude Code / Cowork, Devin, Microsoft Copilot, Gemini Enterprise, Cursor) and with LLMs, agentic frameworks, and workflow orchestration.
• Knowledge of investment management, consumer-facing financial agent implementations, portfolio management, trade support, client reporting, operational servicing, or enterprise data ecosystems.
• Experience within wealth management, investment management, brokerage operations, asset management, or financial services.
• Experience with cloud-based data platforms and AI governance / responsible-AI frameworks in regulated environments.
• Strong business-case development, stakeholder management, and executive communication skills; ability to influence without direct authority.

Job Expectations

• Hybrid work schedule.
• This position is not eligible for visa sponsorship.
• Travel up to 20%.

Pay

$215,000.00 - $355,000.00 base pay range. Pay may vary depending on factors including demonstrated prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement