Senior Azure AI Engineer

• Job ID:

J54716

• Job Title:

Senior Azure AI Engineer

• Location:

Atlanta, GA

• Duration:

9 Months + Extension

• Domain Exposure:

Banking & Finance

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

• Work Authorization:

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.
• Experience integrating Azure Databricks.

Equal Opportunity

Employer

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.