Duties and Responsibilities: • Define and lead enterprise strategy for agentic AI systems, inclduding autonomous workflows, copilots, and decision-support agents (25%) • Build and scale teams responsible for agent frameworks, orchestration layers, tool integration, and runtime governance (20%) • Own end-to-end lifecycle of agentic systems from use-case design through deployment, monitoring, and continuous improvement (20%) • Partner with business, IT, security, legal, and HR to embed agents into core workflows responsibly and compliantly (20%) • Establish standards for agent reliability, evaluation, safety, auditability, and value realization. (15%) Knowledge, Skills, and Abilities (KSAs): • Deep understanding of agentic AI architectures, LLM orchestration, and tool-augmented reasoning • Experience designing autonomous or semi-autonomous systems operating in enterprise environments • Strong grasp of workflow automation, decision intelligence, and human-in-the-loop system design • Proven ability to operationalize AI safely with governance, observability, and controls • Experience leading senior technical teams building platform-level AI capabilities • Strong executive communication and cross-functional influence skills • Ability to translate complex AI concepts into business-relevant outcomes • Experience integrating AI systems with enterprise applications and data platforms Work Experience and Education: • Bachelor’s degree in Computer Science, Engineering, or related technical field • Advanced degree in AI, Computer Science, or related discipline preferred • 10+ years of experience in AI, software platforms, or intelligent systems • 5+ years leading senior engineering or AI platform teams • Demonstrated experience delivering production AI systems embedded in business workflows • Experience with large-scale enterprise transformation or automation initiatives preferred