Princeton IT Services, Inc
Azure AI Infrastructure Specialist
Princeton IT Services, Inc, Princeton, New Jersey, us, 08543
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Job Title:
Azure AI Infrastructure Specialist
Location:
Princeton, NJ
Job Type:
Contract
Job Summary
We are seeking an experienced
Azure AI Infrastructure Specialist
to support the setup, configuration, and maintenance of infrastructure environments for enterprise-grade AI and machine learning platforms. This role will focus on
infrastructure provisioning ,
resource management ,
security configuration , and
deployment enablement
ensuring a stable, secure, and scalable foundation for Azure AI solutions.
Key Responsibilities
Provision and configure Azure infrastructure to support Azure AI services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services). Set up and manage compute, networking, and storage resources required for AI workloads. Work closely with AI/ML engineering teams to provide infrastructure readiness and deployment environments. Configure secure access, networking (VNETs, Private Endpoints), identity management (RBAC, Azure AD), and role segregation. Implement and manage Infrastructure as Code (IaC) using Bicep, ARM Templates, or Terraform for repeatable deployments. Monitor usage, performance, and health of infrastructure components using Azure Monitor, Log Analytics, and Application Insights. Ensure compliance with security and governance policies across all environments. Manage and support deployment pipelines and runtime environments for AI applications. Maintain cost control and optimization of Azure resource consumption.
Required Skills & Qualifications
Bachelors degree in Computer Science, Information Systems, or a related field. Strong hands-on experience with Azure infrastructure, particularly in AI/ML solution support environments. Expertise in provisioning and managing Azure resources: Virtual Networks, Subnets, NSGs, Storage Accounts, Key Vaults, Azure ML Workspaces, etc. Solid understanding of Azure Identity and Access Management (IAM), Azure AD, RBAC, and security best practices. Experience with Infrastructure as Code tools (Bicep, Terraform, ARM Templates). Familiarity with Azure Policy, Blueprints, and Governance practices. Hands-on experience with Azure Monitor, Cost Management, and diagnostic tools. Understanding of containerized environments (AKS, ACR) and serverless services (Azure Functions, Logic Apps) in the context of AI workloads.
Preferred Qualifications
Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert. Experience supporting Azure AI infrastructure in enterprise environments. Familiarity with DevOps practices for deploying infrastructure components (CI/CD pipelines, environment promotion). Knowledge of compliance frameworks (e.g., HIPAA, GDPR, ISO 27001) and their application in Azure. Exposure to MLOps tools and pipelines is a plus, but not required. Seniority level
Seniority level
Associate Employment type
Employment type
Full-time Job function
Job function
Information Technology Referrals increase your chances of interviewing at Princeton IT Services, Inc by 2x Sign in to set job alerts for Infrastructure Specialist roles.
New Jersey, United States $25,000.00-$145,000.00 1 week ago Trenton, NJ $108,714.67-$139,776.00 1 month ago Edison, NJ $125,000.00-$170,000.00 3 weeks ago Senior Manager Azure Cloud Infrastructure (Healthcare IT)
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Middletown, PA $98,800.00-$148,200.00 1 week ago Piscataway, NJ $64,000.00-$130,000.00 1 week ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Azure AI Infrastructure Specialist
Location:
Princeton, NJ
Job Type:
Contract
Job Summary
We are seeking an experienced
Azure AI Infrastructure Specialist
to support the setup, configuration, and maintenance of infrastructure environments for enterprise-grade AI and machine learning platforms. This role will focus on
infrastructure provisioning ,
resource management ,
security configuration , and
deployment enablement
ensuring a stable, secure, and scalable foundation for Azure AI solutions.
Key Responsibilities
Provision and configure Azure infrastructure to support Azure AI services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services). Set up and manage compute, networking, and storage resources required for AI workloads. Work closely with AI/ML engineering teams to provide infrastructure readiness and deployment environments. Configure secure access, networking (VNETs, Private Endpoints), identity management (RBAC, Azure AD), and role segregation. Implement and manage Infrastructure as Code (IaC) using Bicep, ARM Templates, or Terraform for repeatable deployments. Monitor usage, performance, and health of infrastructure components using Azure Monitor, Log Analytics, and Application Insights. Ensure compliance with security and governance policies across all environments. Manage and support deployment pipelines and runtime environments for AI applications. Maintain cost control and optimization of Azure resource consumption.
Required Skills & Qualifications
Bachelors degree in Computer Science, Information Systems, or a related field. Strong hands-on experience with Azure infrastructure, particularly in AI/ML solution support environments. Expertise in provisioning and managing Azure resources: Virtual Networks, Subnets, NSGs, Storage Accounts, Key Vaults, Azure ML Workspaces, etc. Solid understanding of Azure Identity and Access Management (IAM), Azure AD, RBAC, and security best practices. Experience with Infrastructure as Code tools (Bicep, Terraform, ARM Templates). Familiarity with Azure Policy, Blueprints, and Governance practices. Hands-on experience with Azure Monitor, Cost Management, and diagnostic tools. Understanding of containerized environments (AKS, ACR) and serverless services (Azure Functions, Logic Apps) in the context of AI workloads.
Preferred Qualifications
Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert. Experience supporting Azure AI infrastructure in enterprise environments. Familiarity with DevOps practices for deploying infrastructure components (CI/CD pipelines, environment promotion). Knowledge of compliance frameworks (e.g., HIPAA, GDPR, ISO 27001) and their application in Azure. Exposure to MLOps tools and pipelines is a plus, but not required. Seniority level
Seniority level
Associate Employment type
Employment type
Full-time Job function
Job function
Information Technology Referrals increase your chances of interviewing at Princeton IT Services, Inc by 2x Sign in to set job alerts for Infrastructure Specialist roles.
New Jersey, United States $25,000.00-$145,000.00 1 week ago Trenton, NJ $108,714.67-$139,776.00 1 month ago Edison, NJ $125,000.00-$170,000.00 3 weeks ago Senior Manager Azure Cloud Infrastructure (Healthcare IT)
Trenton, NJ $131,040.00-$168,480.00 1 month ago Bridgewater, NJ $85,000.00-$130,000.00 1 day ago Trenton, NJ $131,040.00-$189,280.00 1 month ago Cloud Infrastructure Security and Controls Manager
Trenton, NJ $135,611.84-$184,044.64 1 month ago Trenton, NJ $168,480.00-$243,360.00 1 month ago Trenton, NJ $102,890.67-$132,288.00 1 month ago Skillman, NJ $177,736.00-$189,000.00 3 days ago Trenton, NJ $148,512.00-$214,517.00 1 month ago Trenton, NJ $115,509.33-$148,512.00 1 month ago Trenton, NJ $101,920.00-$131,040.00 1 month ago Azure Infrastructure with DataBricks Experience
Customer IT & Infrastructure Solutions Specialist
Somerset, NJ $73,500.00-$83,500.00 1 week ago Infrastructure Architect with expertise in Data Bricks
Middletown, PA $98,800.00-$148,200.00 1 week ago Piscataway, NJ $64,000.00-$130,000.00 1 week ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr