AI Engineer IV – Azure Cloud Infrastructure at TechniPros

Requirement : AI Engineer IV Azure Cloud Infrastructure (w2 position) Job Title: AI Engineer IV Azure Cloud Infrastructure Location: Richmond VA (Hybrid Proof of Residency Required) Experience Level: Senior / Level IV Job Summary We are seeking a highly skilled AI Engineer IV to design implement optimize and maintain Azure cloud infrastructure supporting enterprise-level AI/ML workloads. This role requires deep expertise in Azure services Infrastructure as Code (IaC) CI/CD automation observability and scalable AI platform engineering. On-site presence in Richmond VA is required on designated days. Key Responsibilities Azure Cloud Infrastructure Design and maintain Azure environments supporting AI/ML platforms. Manage Azure compute storage networking and security services. Implement Azure services including AKS Azure ML ADF Functions Service Bus Key Vault APIM VNets Load Balancers. AI/ML Platform Support Deploy and manage AI/ML workloads (training inference pipelines). Ensure reliability scalability and performance of AI infrastructure. Collaborate with Data Scientists and ML Engineers on model deployment and operationalization. Infrastructure as Code (IaC) Develop and maintain Terraform/Bicep/ARM templates. Ensure consistent secure and compliant environment provisioning. Automate infrastructure provisioning workflows. CI/CD Pipelines Build and maintain CI/CD pipelines using Azure DevOps / GitHub Actions. Automate build test deployment and monitoring workflows. Implement DevSecOps practices including policy checks and vulnerability scanning. Monitoring & Observability Implement Azure Monitor Log Analytics App Insights and Grafana-based observability. Configure metrics alerts dashboards and logging. Troubleshoot performance issues and perform RCA. Security Compliance & Governance Implement Azure security best practices RBAC policies governance controls. Ensure compliance with NIST SOC2 and enterprise standards. Manage secure deployment encryption and access control. Collaboration & Documentation Work cross-functionally with Data Science Security Cloud Engineering and Architecture teams. Document infrastructure deployment processes and configuration standards. Mentor junior engineers and contribute to design discussions. Required Qualifications Bachelors/Masters in Computer Science Engineering or equivalent experience. 8 12 years in cloud engineering or DevOps. 5 years of hands-on Azure experience. Strong proficiency with Terraform Bicep or ARM. Proven CI/CD automation expertise (Azure DevOps/GitHub Actions). Experience supporting AI/ML workloads (Azure ML AKS Databricks etc.). Strong knowledge of monitoring tools and cloud networking. Proficiency with Python PowerShell or Bash scripting. Preferred Qualifications Azure certifications: AZ-305 AZ-400 DP-203 AI-102 etc. Experience with Kubernetes (AKS) and containerized AI deployments. Familiarity with MLOps frameworks and ML lifecycle management. Experience in large enterprise or regulated industries. Work Arrangement Hybrid role Richmond VA. Proof of residency required. On-site attendance 2 3 days/week (per client schedule). Thanks& Regards Key Skills Jenkins,Ruby,Python,Active Directory,Cloud,PowerShell,Windows,AWS,Linux,SAN,Java,Troubleshoot,Backup,Puppet,hardware Employment Type : Full Time Experience: years Vacancy: 1