Azure Technical Lead – AI/GenAI

Azure Technical Lead – AI/GenAI Location: Iselin, NJ – Hybrid Experience: 7–10+ years Domain: Insurance preferred; P&C experience is a plus Job Overview We are seeking a hands-on Azure Technical Lead with strong expertise across Azure Cloud Infrastructure, Platform Engineering, DevOps, and AI/GenAI application development. The ideal candidate will design, develop, deploy, and support enterprise-grade AI solutions on Azure while bridging AI application development with cloud infrastructure, security, DevOps, and production operations. Key Responsibilities Azure Cloud & Platform Engineering • Design and implement scalable and secure Azure architectures for AI workloads. • Build and manage Azure infrastructure and platform services. • Deploy applications using AKS, Azure App Service, Azure Functions, and Azure Container Apps. • Design Azure networking using VNets, private endpoints, and network isolation. • Implement Microsoft Entra ID, RBAC, Managed Identities, Key Vault, encryption, and secrets management. • Monitor and support enterprise Azure environments. AI / GenAI Development • Develop and productionize AI/GenAI applications using Azure OpenAI, Azure AI Foundry, 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 templates. • Establish deployment standards, automation, testing, security scanning, and release governance. Required Skills • Strong hands-on Azure Cloud Infrastructure / Platform Engineering experience. • Strong Azure DevOps / DevOps / CI/CD experience. • Experience with Terraform, Bicep, or ARM. • Strong experience with AKS / Kubernetes / Docker. • Strong Azure networking experience, including VNets and private endpoints. • Experience with Microsoft Entra ID, RBAC, Managed Identity, and Key Vault. • Azure monitoring and production support experience. • Hands-on Azure OpenAI / Azure AI experience. • Strong GenAI / LLM / RAG experience. • Experience with Azure AI Search. • Experience with Azure AI Foundry. • Experience with Azure AI Document Intelligence. • Strong programming experience in Python, .NET/C#, Java, or Node.js/TypeScript. • Insurance experience is preferred; P&C experience is a plus.