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Tier-1 employer and metro Hyderabad increase competition, while specialized agentic GenAI skills limit applicant pool.
Core GenAI engineering skills are transferable, but banking integration, governance, and enterprise deployment needs add domain specificity.
Explicit 7+ years requirement plus mandatory hands-on LLM, Python, enterprise deployment and governance increases shortlisting rigidity.
Lead end-to-end deployment of agentic AI solutions integrating LLM-powered workflows into banking operations for measurable business impact.
Act as expert advisor to senior leadership, shaping digital product strategy and operational transformation across the enterprise.
Design, develop, and maintain reusable agentic AI capabilities and orchestrate complex AI workflows ensuring scalability and governance.
7+ years of digital product management experience or equivalent.
Hands-on expertise with LLM platforms such as GPT (OpenAI), Claude (Anthropic), Gemini (Google).
Advanced Python proficiency for building production-grade agentic systems.
Ability to work onsite according to Wells Fargo's location and travel up to 10%.
Experienced in bridging AI engineering, product strategy, and operations in regulated financial services environments.
Demonstrates mastery in designing and deploying scalable, enterprise-grade LLM-based agent architectures with strong orchestration and governance.
Proven ability to translate complex business/operational processes into AI-driven agentic workflows and deliver measurable ROI.