Azure Cloud Engineer (AI Experience Required)

Job Position: Azure Cloud Engineer (AI Experience Required)

Location: Richmond, VA, USA

Type: Full time / Contractors / C2C

Job Type: Hybrid

Experience: 10+ Years

Description:

We are seeking a highly skilled Azure Cloud Engineer with hands-on experience integrating AI/ML technologies into cloud environments. This long-term position in Richmond, VA will support enterprise-level cloud transformation initiatives, automation, and modernization efforts. The ideal candidate has a strong background in Azure infrastructure, DevOps, and intelligent cloud solutions.

Responsibilities:

• Design, build, and maintain scalable Azure cloud architectures (IaaS, PaaS, serverless).
• Implement and manage AI and ML services within Azure (Azure AI Studio, Cognitive Services, Machine Learning, OpenAI integrations).
• Develop automation pipelines using DevOps tools (Azure DevOps, GitHub Actions, Terraform, ARM/Bicep).
• Optimize cloud performance, cost, and reliability using monitoring and AI-driven insights.
• Ensure security and compliance using Azure policies, RBAC, Key Vault, and security best practices.
• Deploy and manage CI/CD pipelines, containerized workloads, and Kubernetes (AKS).
• Collaborate with data, AI, and application teams to build intelligent, automated solutions.
• Troubleshoot complex cloud issues and proactively improve cloud operations.
• Support long-term cloud strategy, architecture standards, and governance frameworks.
• Required Qualifications
• 5+ years hands-on experience as an Azure Cloud Engineer (or equivalent).
• Working knowledge of AI/ML services, including Azure OpenAI, Cognitive Services, or Azure ML.
• Strong experience with ARM/Bicep, Terraform, or infrastructure-as-code tools.
• Proficiency with PowerShell, Python, or similar scripting languages.
• Experience with CI/CD pipelines, Git, GitHub, or Azure DevOps.
• Knowledge of Azure networking, virtual machines, storage, identity, and security.
• Experience with Containers, Docker, and AKS.
• Strong troubleshooting capabilities and experience supporting production environments.