AI Engineer IV – Azure Cloud Infrastructure
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Job Location:
Richmond, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
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 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.
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.
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.
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).
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
