Why This Role Stands Out
This hybrid Azure Technical Lead role offers a fantastic opportunity to architect and deploy cutting-edge AI/GenAI solutions on Azure, leveraging your expertise in cloud infrastructure and DevOps. If you thrive in a dynamic environment, enjoy building scalable enterprise-grade applications, and are passionate about AI innovation, this position is perfect for you to make a significant impact. Apply today to shape the future of AI within a reputable tech services company.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Jersey City, NJ, United States
Posted
2 weeks ago
DockerNode.jsEncryptionAzureC#.NETGitHub ActionsJavaKubernetesLLMPythonTerraformTypeScriptVault
Job Description
Azure Technical Lead AI/GenAI
Location: Manhattan, NY or Iselin, NJ Hybrid
Experience: 7 10+ years
Domain: Insurance preferred, P&C experience is a plus
Experience: 7 10+ years
Domain: Insurance preferred, P&C experience is a plus
Job Summary
We are looking for 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 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.
- 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, version control, testing, security scanning, and release governance.
Required Skills
Must Have
- Strong hands-on Azure Cloud Infrastructure / Platform Engineering
- Strong Azure DevOps / DevOps / CI/CD experience
- Terraform, Bicep, or ARM
- AKS / Kubernetes / Docker
- Azure networking, VNets, private endpoints
- Microsoft Entra ID, RBAC, Managed Identity, Key Vault
- Azure monitoring and production support
- Azure OpenAI / Azure AI
- GenAI / LLM / RAG
- Azure AI Search
- Azure AI Foundry/Studio
- Azure AI Document Intelligence
- Strong programming experience in Python, .NET/C#, Java, or Node.js/TypeScript
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