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Tier-1 bank and metro listing increase competition, though senior niche GenAI experience limits applicant density.
Deep LLM, agentic systems, and banking integration needs make skills highly domain-specific and less transferable.
Explicit 18+ and 7+ AI years plus deep LLM, Python, and production deployment requirements enforce strict filters.
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Lead end-to-end deployment of agentic AI solutions embedding LLM-powered workflows into live banking operations for automation and decision support.
Conduct discovery with business teams to analyze and translate operational processes into agentic AI workflows, defining KPIs and quantifying business benefits.
Design, implement, and maintain reusable agentic AI solutions using LLM platforms and MCP tools, ensuring enterprise-grade scalability, governance, and compliance.
18+ years industry experience with 7+ years in Artificial Intelligence Solutions or equivalent.
Hands-on experience with LLM platforms such as Claude, Gemini, GPT with practical skills in prompt engineering, reasoning chains, and agent workflows.
Ability to work onsite as per Wells Fargo's operating model with up to 10% travel and flexible shift timings.
Work Experience Required: 18+ years industry experience with 7+ years in AI Solutions.
Proven track record of designing, deploying, and operating production-grade LLM agentic systems with strong focus on reliability, safety, and enterprise readiness.
Expertise in integrating LLM agents with enterprise systems using Python and MCP or equivalent frameworks, plus strong skills in agentic system engineering.
Experience collaborating directly with customers and senior stakeholders to translate business processes into measurable LLM-driven AI outcomes.