Senior Azure AI Engineer

Quantum Technologies. LLC; Atlanta (GA); On-site; USD 94,000 - 134,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced Senior Azure AI Engineer to design, develop, and deploy production-ready AI solutions on Azure. The role focuses on Azure AI Foundry, Azure OpenAI, and Azure AI Search, with emphasis on scalable cloud architecture and secure infrastructure.

You will build AI agents, implement RAG architectures, and integrate LLM-powered apps while ensuring compliance, performance, and reliability in enterprise environments. This position is based in Atlanta, GA.

Qualifications

• 8+ years of IT experience.
• Hands-on expertise with Azure AI Foundry, Azure OpenAI, and Azure AI Search.
• Experience with AI agents, agentic workflows, and multi-agent systems.
• Experience with RAG architectures and LLM-powered applications.
• Strong knowledge of Azure Cloud Infrastructure and Networking.
• Experience with Private Endpoints, RBAC, and Azure Key Vault.
• IaC using Terraform and Bicep.
• CI/CD, LLMOps, and production AI deployments.
• AI monitoring and performance optimization.

Responsibilities

• 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.

Skills

Generative AI

Agentic AI

LLM-powered apps

RAG architectures

Cloud infra

IaC

CI/CD pipelines

Monitoring

Tools

Azure AI Foundry

Azure OpenAI

Azure AI Search

Terraform

Bicep

Azure Databricks

Azure Key Vault

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title:Senior Azure AI Engineer
Location: Atlanta,GA
Duration: 9 Months + Extension
Bill Rate: $83/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job 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.

Key Responsibilities

• 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.

Required Skills

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.