Azure Technical Lead – AI/GenAI

I8IS - Infiniti Software Solutions; Woodbridge Township (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

I8IS - Infiniti Software Solutions is seeking a hands-on Azure Lead to drive enterprise AI solutions on Azure. You will design, develop, deploy, and support cloud-based AI workloads, bridging AI application development with secure cloud infrastructure and platform services.

The role requires deep expertise in Azure Cloud Infrastructure, DevOps practices, and GenAI technologies to deliver scalable, production-ready solutions.

Qualifications

• Hands-on Azure Lead with strong expertise across Azure Cloud Infrastructure, Platform Engineering, DevOps, and AI/GenAI application development.

Responsibilities

• Design and implement scalable, secure Azure cloud 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 related security controls.
• Implement Microsoft Entra ID, RBAC, managed identities, Key Vault, encryption, and secrets management.
• 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.

Skills

Azure leadership

Azure Cloud Infrastructure

Platform Engineering

DevOps

AI/GenAI development

Tools

AKS

Azure App Service

Azure Functions

Azure Container Apps

Key Vault

Job description

Job Summary

We are looking for a hands-on Azure Lead with strong expertise across Azure Cloud Infrastructure, Platform Engineering, DevOps, and AI/GenAI application development. The ideal candidate will be responsible for designing, developing, deploying, and supporting enterprise-grade AI solutions on Azure. This role requires someone who can bridge AI application development with Azure cloud infrastructure, security, DevOps, and production operations.

Key Responsibilities

Azure Cloud & Platform Engineering

• Design and implement scalable, secure Azure cloud 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 related 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.