Azure AI/GenAI Tech Lead - Hands-On, Enterprise Cloud

SIDRAM TECHNOLOGIES

Woodbridge Township (NJ)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Sidram Technologies seeks an experienced Azure Technical Lead AI/GenAI in Iselin, NJ. The role requires hands-on expertise across Azure cloud infrastructure, platform engineering, DevOps, and AI/GenAI application development to design, deploy and support enterprise AI solutions on Azure.

The candidate will bridge AI application development, cloud infra, security, DevOps, and production operations, delivering scalable architectures, secure networking, and robust deployment processes for

Qualifications

15+ Years of IT experience required.
DEU? NO
P&C insurance experience is mandatory.
Hands-on Azure cloud infra and platform engineering.
Experience with Azure DevOps/CI-CD pipelines.
Terraform, Bicep, or ARM experience.
AKS/Kubernetes/Docker skill set.
Azure networking with VNets and private endpoints.
Microsoft Entra ID, RBAC, Key Vault and secret management.
Azure Monitoring and production support.
Experience with Azure OpenAI/Azure AI tools.
GenAI/LLM/RAG exposure.
Azure AI Search, Foundry/Studio, Document Intelligence.
Strong programming in Python, .NET/C#, Java, or Node.js/TypeScript.

Responsibilities

Design scalable and secure Azure architectures for AI workloads.
Build and manage Azure infrastructure and platform services supporting enterprise AI apps.
Deploy apps using AKS, Azure App Service, Azure Functions, and Azure Container Apps.
Design networking with VNets, private endpoints, isolation and security controls.
Implement Entra ID, RBAC, Managed Identities, Key Vault and secret management.
Develop and productionize AI/GenAI apps using Azure OpenAI, Foundry/Studio, AI Search and Document Intelligence.
Design RAG pipelines, prompt orchestration, vector search and LLM-based solutions.
Develop AI apps using Python, .NET/C#, Java, or Node.js/TypeScript.
Integrate AI with enterprise APIs, data platforms and business systems.
Build and manage CI/CD pipelines using Azure DevOps or GitHub Actions.
Automate deployments for apps, infra, config, prompts and models.
Provision Azure resources via Terraform, Bicep or ARM.
Establish deployment standards, security scanning, and governance.
Provide monitoring, troubleshooting, and production support.