Azure Technical Lead - AI/GenAI

Azure Cloud & Platform Engineering

• Design and implement scalable, secure Azure architectures for AI workloads.
• Build and manage Azure infrastructure and platform services supporting enterprise AI applications.
• Deploy applications using AKS, Azure App Service, Azure Functions, and Azure Container Apps.
• Design Azure networking using VNets, private endpoints, network isolation, and security controls.
• Implement Microsoft Entra ID, RBAC, Managed Identities, Key Vault, encryption, and secrets management.

AI / GenAI Development

• Develop and productionize AI/GenAI applications using Azure OpenAI, Azure AI Foundry/Studio, Azure AI Search, and Azure AI Document Intelligence.
• Design and implement RAG pipelines, prompt orchestration, vector search, and LLM-based solutions.
• Develop AI applications using Python, .NET/C#, Java, or Node.js/TypeScript.
• Integrate AI solutions with enterprise APIs, applications, data platforms, and business systems.

DevOps & Infrastructure as Code

• Build and manage CI/CD pipelines using Azure DevOps or GitHub Actions.
• Automate application, infrastructure, configuration, prompt, and model deployments.
• Provision Azure resources using Terraform, Bicep, or ARM.
• Establish deployment standards, automation, version control, testing, security scanning, and release governance.
• Support monitoring, troubleshooting, and production operations for enterprise workloads.