Senior Azure AI Architect for Enterprise LLM Solutions

Robotic Technologies Automation; Atlanta (GA); On-site; USD 98,000 - 131,000; Full time

Job summary

Robotic Technologies Automation in Atlanta, GA is seeking a Senior Azure AI Engineer to design, develop, and deploy production AI solutions using Azure AI Foundry, Azure OpenAI, and Azure AI Search. You will build AI agents and multi-agent workflows, implement RAG architectures, design secure cloud infrastructure with Terraform and Bicep, and maintain CI/CD and LLMOps for scalable, reliable deployments.

Requires 8+ years IT experience and strong Azure cloud expertise, with on-site work in

Qualifications

• 8+ years in IT with hands-on Azure AI and cloud architecture experience.
• Deep expertise in Azure AI Foundry, Azure OpenAI, and Azure AI Search.
• Proficient in building LLM-powered apps and agentic AI workflows.

Responsibilities

• Design, develop, and deploy enterprise AI solutions on Azure AI Foundry, OpenAI, and AI Search.
• Build AI agents and multi-agent workflows, and implement RAG architectures.
• Develop and deploy LLM-powered applications with secure Azure infrastructure.
• Design secure cloud infrastructure with Private Endpoints, RBAC, and Key Vault.
• Implement IaC using Terraform and Bicep; maintain CI/CD and LLMOps pipelines.
• Deploy, monitor, troubleshoot, and optimize production AI applications.
• Collaborate with cross-functional teams to deliver end-to-end AI solutions.

Skills

Azure AI Foundry

Azure OpenAI

Azure AI Search

Generative AI

Agentic AI

AI Agents

Multi-Agent Systems

RAG architectures

LLMOps

Terraform

Bicep

CI/CD

Tools

Terraform

Bicep

CI/CD pipelines

Azure Private Endpoints

RBAC

Azure Key Vault

Job description

Robotic Technologies Automation in Atlanta, GA is seeking a Senior Azure AI Engineer to design, develop, and deploy production AI solutions using Azure AI Foundry, Azure OpenAI, and Azure AI Search. You will build AI agents and multi-agent workflows, implement RAG architectures, design secure cloud infrastructure with Terraform and Bicep, and maintain CI/CD and LLMOps for scalable, reliable deployments.

Requires 8+ years IT experience and strong Azure cloud expertise, with on-site work in