Azure Technical Lead - AI/GenAI
The Hire
Woodbridge Township, NJ, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
.NET Framework
Application Programming Interfaces (APIs)
Artificial Intelligence
Microsoft Azure
Business Systems
C Sharp (Programming Language)
Computer Programming
Continuous Integration
DevOps
Github
Python (Programming Language)
+18 more
Key Management
Node.Js
Role-Based Access Control
Azure Active Directory
Search Technologies
Software Deployment
TypeScript
Large Language Models
Generative AI
Kubernetes
Bicep
Data Management
Terraform
Serverless Computing
Azure Resource Manager
Docker
Key Vault
Vulnerability Analysis
Job description
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., * 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.
Requirements
Experience: 7-10+ years Domain: Insurance preferred; P&C experience is a plus, * 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.
Apply for this position
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Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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