• Define the enterprise Agentic AI vision and roadmap, aligned to business outcomes (cost reduction, revenue growth, productivity, experience uplift). • Establish clear differentiation between LLM tools, copilots, workflows, and autonomous/multi-agent systems. • Identify and prioritize high-value agentic use cases (e.g., customer support resolution, claims/prior auth automation, contract leakage reduction, operational orchestration, developer productivity). • Own the design and evolution of the Agentic AI Platform. • Lead delivery of production-grade agentic solutions, not POCs. • Ensure agents are embedded into real digital experiences (chat, IVR, portals, internal tools). • Drive build-once, reuse-everywhere agent capabilities across channels and domains. • Define and enforce Agentic AI governance frameworks, including safety boundaries and guardrails, explainability and auditability, data privacy and security controls, bias, hallucination, and failure-mode mitigation. • Build and lead high-performing AI engineering and applied science teams.