​· 15+ years of IT experience, with at least 5+ years in an enterprise architecture role and 3+ years in AI/ML, including practical experience with Agentic AI systems and Generative AI.

· Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure).

· Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen.

· Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment.

· Proven track record of designing and deploying scalable AI solutions that deliver measurable business value.

· Excellent communication, leadership, and analytical skills, with the ability to influence stakeholders at all levels.