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Tier-1 brand, metro hiring, and hot GenAI skills increase competition, but seniority and specialization limit applicant pool.
Highly specialized GenAI systems, enterprise integrations, and banking governance require domain-specific experience limiting transferability.
Explicit 7+ years plus mandatory LLM, platform, Python, and enterprise deployment experience creates stringent filters.
Drive end-to-end deployment of LLM-powered Agentic AI solutions integrated into banking operations workflows to enable automation and decision support.
Advise senior leadership on digital product strategies, complex business challenges, and enterprise-wide AI adoption with measurable business impact.
Develop reusable agent skills libraries, orchestrate multi-step agentic workflows, and ensure enterprise-grade scalability, governance, and compliance of AI products.
7+ years of digital product management experience or equivalent through work experience, training, or education.
Hands-on expertise with LLM platforms like GPT, Claude, and Gemini, including prompt engineering and agent orchestration.
Advanced Python programming skills for building production-grade agentic systems and integrations with enterprise APIs and services.
Ability to work onsite per Wells Fargo's operating model with up to 10% travel and flexible shifts for global coverage.
Experienced in production-grade deployment and operation of LLM-driven agentic AI systems with attention to reliability, safety, and governance.
Skilled in translating complex business and operational processes into AI-powered agentic workflows with measurable KPIs and ROI models.
Strategic advisor comfortable working directly with senior leadership and cross-functional teams to lead enterprise digital transformation initiatives.