• Design and build scalable AI-powered applications using Azure OpenAI, Azure AI Search, Azure Machine Learning, and Document Intelligence • Architect and implement cloud-native solutions on Microsoft Azure using AKS, Azure Functions, API Management, Cosmos DB, Azure SQL, Blob Storage, and Redis • Develop and deploy Retrieval-Augmented Generation (RAG) systems, enterprise copilots, and intelligent automation agents • Build secure, API-first microservices and integrate with enterprise platforms such as ERP, CRM, CLM, OMS, and external partner systems • Implement event-driven and distributed architectures using Service Bus and Event Grid • Optimize AI solutions for performance, cost efficiency, scalability, and security • Lead CI/CD implementation using Azure DevOps or GitHub Actions and manage Infrastructure as Code using Bicep or Terraform • Ensure enterprise-grade security using RBAC, Managed Identity, Key Vault, and compliance best practices • Monitor, troubleshoot, and enhance production systems using Azure Monitor and Application Insights • Collaborate with product, UX, and business stakeholders to translate requirements into technical solutions • Provide architectural leadership, mentor engineers, and drive AI adoption across the organization • Report project/task status to the management. • Step in as team member throughout the software development process as needed.