Azure MLOps Architect

We are seeking an experienced Azure AI / MLOps Architect based in India to help design and build enterprise-grade AI and cloud solutions. This is a hands-on Architect + Developer role. We need someone who can design architecture and also work with engineering teams for implementation. Responsibilities: • Design Azure AI and MLOps platform architecture • Build GenAI solutions using Azure OpenAI and LLMs • Develop AI Agents and RAG-based applications • Architect cloud-native applications and APIs • Implement Azure Machine Learning workflows • Deploy applications on AKS (Azure Kubernetes) • Build CI/CD pipelines using Azure DevOps • Manage Infrastructure as Code using Terraform • Review architecture, code, and cloud best practices • Optimize security, reliability, and Azure costs Required Experience: • 5+ years Cloud / DevOps / Software Architecture • Strong Azure ecosystem experience • Production GenAI implementation experience • Hands-on Python / Backend development • Kubernetes and Docker experience • Terraform automation experience Skills: Azure OpenAI Azure Machine Learning Generative AI MLOps Python AKS Kubernetes Terraform Azure DevOps LLM Applications Cloud Architecture Engagement: Part-time / Contract Hybrid collaboration possible if required. Looking for an architect mindset — someone who can design, build, and deliver production AI systems.