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Mid-level AI product role, metro location, and broad skillset attract many qualified applicants.
Role favors AI-native and enterprise banking experience, so transferable but moderately specialized.
Requires proven AI-native and enterprise product experience plus technical fluency and compliance focus.
Lead the development and deployment of AI autonomous agents to solve complex banking problems at enterprise scale across multiple product pillars.
Own the end-to-end AI capability roadmap, making prioritization decisions and ensuring features meet enterprise-grade standards (reliability, explainability, compliance, safety).
Drive cross-pillar alignment and integration with platform teams, based on customer discovery and data-driven insights including usage, cost, latency, and sentiment.
Experience shipping AI-native products, especially with deep LLM integration and cost/latency optimization.
Strong understanding of Large Language Models (LLM) capabilities, production-level considerations such as cost, latency, hallucination, and compliance.
Work Experience Required: Not explicitly mentioned in the JD
Not explicitly mentioned: specific degree, location, or notice period requirements.
Demonstrates strategic systems thinking to optimize AI solutions coherently across platform pillars rather than local feature wins.
Practices rigorous quality standards for enterprise-grade AI products emphasizing explainability, reliability, compliance, and safety.
Experienced in leading complex, cross-functional product initiatives in AI or enterprise software with customer-centric discovery and data-driven decision making.