An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
Iselin, NJ Job Details 1 hour ago Qualifications AI models Cloud identity and access management (IAM) Network design Azure IaaS Infrastructure as Code (IaC) Network security implementation Generative models AI platforms (beyond public GPTs) RBAC Azure Key Vault Azure AD Data access controls implementation Production monitoring Cloud automation Application support DevOps automation Key management Cloud monitoring Azure Virtual Network (Vnet) Virtual Private Clouds Generative AI Property insurance knowledge Identity & access management
Full Job Description Job Title:
Azure Technical Lead-AI/GEN AI with our client.
Location:
Iselin, NJ Please find the job description below. Candidates should have P&C insurance experience 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 Gen
AI / 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
