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# Senior Azure AI Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $172,640
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Key Management, Performance Tuning, Role-Based Access Control, OpenAI, Azure Machine Learning, Enterprise Search, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, HybridCloud, Agentic-AI, Deployment Automation, Bicep, Machine Learning Operations, Azure AI, Terraform, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a4d787099799dfd6

## About the Role

* 8+ years of overall IT experience.
 * Strong hands-on experience with Azure AI Foundry, Azure OpenAI, and Azure AI Search.
 * Expertise in Generative AI, Agentic AI, AI Agents, and Multi-Agent Systems.
 * Experience implementing RAG architectures and LLM-powered applications.
 * Strong knowledge of Azure Cloud Infrastructure and Networking.
 * Experience with Private Endpoints, RBAC, and Azure Key Vault.
 * Infrastructure as Code (IaC) using Terraform and Bicep.
 * Experience with CI/CD, LLMOps, and production AI deployments.
 * Expertise in AI application monitoring, performance optimization, and troubleshooting.
 * Experience integrating Azure Databricks.

## Description

We are seeking an experienced Senior Azure AI Engineer with strong expertise in Azure AI services, Generative AI, Agentic AI, and enterprise cloud architecture. The ideal candidate will have hands-on experience designing, developing, and deploying production-ready AI solutions using Azure AI Foundry, Azure OpenAI, and Azure AI Search., * Design, develop, and deploy enterprise AI solutions using Azure AI Foundry, Azure OpenAI, and Azure AI Search.

 * Build and implement AI agents, agentic workflows, and multi-agent systems.
 * Develop Retrieval-Augmented Generation (RAG) solutions and integrate LLM-based applications.
 * Design and manage secure Azure cloud infrastructure for AI workloads.
 * Implement Azure networking, Private Endpoints, RBAC, and Azure Key Vault.
 * Develop infrastructure automation using Terraform and Bicep.
 * Build and maintain CI/CD pipelines and LLMOps workflows.
 * Deploy, monitor, troubleshoot, and optimize production AI applications.
 * Integrate Azure Databricks with AI and data engineering solutions.
 * Ensure AI solutions meet enterprise requirements for scalability, security, performance, and reliability.
 * Collaborate with cross-functional teams to deliver end-to-end AI solutions.