GenAI Enterprise Technology Solution Engineering & Reusability Lead

Wells Fargo & Company • Iselin, NJ

1d • $215,000 - $355,000 • Hybrid

About The Position

About this role: Wells Fargo is seeking a forward‑thinking leader to drive our enterprise GenAI solution engineering capabilities. This role goes beyond traditional portfolio oversight, focusing on identifying cross‑use‑case patterns, designing reusable frameworks, shaping our AI marketplace strategy, and running the GenAI Solution Engineering routines that power scalable, consistent delivery. The ideal candidate blends engineering discipline, pattern recognition, product thinking, and strong collaboration across business and technology teams. In this role, you will: Set the enterprise product vision and strategy for GenAI engineering. Translate customer and business outcomes into crisp, testable requirements. Own backlog and portfolio priorities to maximize reuse, speed, and value. Maintain a multi‑quarter roadmap for reusable GenAI platforms and components. Define north‑star KPIs; instrument and review product performance with operating cadences. Provide strategic leadership and oversight across the AI and automation solution portfolio. Identify patterns, reusable components, and repeatable architectures across use cases to accelerate delivery and reduce redundancy. Develop and operationalize the enterprise reusability framework and internal GenAI marketplace. Lead and mature the GenAI Solution Engineering routines, including intake, technical assessment, experimentation, and readiness. Partner with product, architecture, data, and engineering teams to ensure consistent standards and adoption of reusable design patterns. Establish governance and lifecycle management of reusable assets, including prompts, models, components, and solution blueprints. Assess new use cases for reuse potential and guide teams toward scalable architectures. Define and track performance metrics to measure reuse adoption, engineering throughput, and business value. Serve as an enterprise thought leader on GenAI engineering excellence, reusable design, and responsible AI. Mentor engineering teams and foster a culture of innovation, speed, and disciplined engineering.

Requirements

• 8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of management or leadership experience

Nice To Haves

• Deep experience in engineering, architecture, AI/ML, or automation delivery.
• Proven ability to identify patterns across diverse business problems.
• Experience building reusable frameworks, platforms, or marketplaces.
• Strong technical, facilitation, and cross-functional partnership skills.
• Ability to influence at all organizational levels and drive adoption.

Responsibilities

• Set the enterprise product vision and strategy for GenAI engineering.
• Translate customer and business outcomes into crisp, testable requirements.
• Own backlog and portfolio priorities to maximize reuse, speed, and value.
• Maintain a multi‑quarter roadmap for reusable GenAI platforms and components.
• Define north‑star KPIs; instrument and review product performance with operating cadences.
• Provide strategic leadership and oversight across the AI and automation solution portfolio.
• Identify patterns, reusable components, and repeatable architectures across use cases to accelerate delivery and reduce redundancy.
• Develop and operationalize the enterprise reusability framework and internal GenAI marketplace.
• Lead and mature the GenAI Solution Engineering routines, including intake, technical assessment, experimentation, and readiness.
• Partner with product, architecture, data, and engineering teams to ensure consistent standards and adoption of reusable design patterns.
• Establish governance and lifecycle management of reusable assets, including prompts, models, components, and solution blueprints.
• Assess new use cases for reuse potential and guide teams toward scalable architectures.
• Define and track performance metrics to measure reuse adoption, engineering throughput, and business value.
• Serve as an enterprise thought leader on GenAI engineering excellence, reusable design, and responsible AI.
• Mentor engineering teams and foster a culture of innovation, speed, and disciplined engineering.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed