Role Overview: We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment. This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms. Key Responsibilities: Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI. Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures. Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions). Build automation scripts and tools using .NET/C# or Python. Manage and optimize Windows Server and Linux/Unix environments for AI workloads. Deploy and orchestrate AI-driven applications on Kubernetes/AKS. Ensure Responsible AI practices, security, compliance, and governance across AI deployments. Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK). Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions. Mentor engineers on Azure AI, DevOps, and automation best practices. Required Skills & Experience: 8-12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design. Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.