Responsibilities: Coordinate and support multiple projects across departments, ensuring deliverables are tracked and completed on time. Facilitate working sessions and meetings with stakeholders to gather requirements, align on goals, and clarify scope. Develop and maintain project documentation including timelines, meeting notes, process maps, and status reports. Identify and document current business processes; collaborate with teams to recommend

Program Management & Delivery Lead end-to-end delivery of Agentic AI projects, from ideation and PoC to deployment and scaling across Microsoft platforms. Manage project scope, timelines, budgets, and risks while ensuring alignment with business goals and technical feasibility  Microsoft AI Ecosystem Integration Coordinate the implementation of Microsoft-native AI components including Azure AI Foundry, Power Automate, and Copilot integrations. Ensure

Mandatory Skill : Agentic AI,Langgraph,Symentic kernal,infra design,Azure Strong technical background with a degree in management or computer science, and proficiency in SQL and Python for data analytics. At least 12+ years of experience building and managing enterprise-grade cloud infrastructure (AWS, Azure, GCP), with a focus on multi-tenant and multi-service architectures. Deep understanding of AI orchestration, including data flow management,