Overview
On Site
0.0
Contract - W2
Skills
API Management
Azure OpenAI
Azure networking
Azure
Job Details
Title: Azure AI Enablement Engineer
Location: Raleigh, NC (Locals only)
Duration: 12 Months contract
On-site presence required up to 3 days per week.
The NC Department of Transportation Web Services group is seeking an Azure Cloud/AI enablement Engineer with strong hands-on experience integrating Azure OpenAI and Cognitive Services with new & existing workloads. This role will focus on building secure, scalable Azure environments, enabling intelligent application workloads, and building robust CI/CD pipelines and infrastructure-as-code deployments. The engineer will work closely with application teams to migrate and modernize workloads in Azure and assist business units in adopting Azure OpenAI and Cognitive Services. This role requires a proactive engineer who can contribute to documentation, knowledge sharing, and enforcement of cloud governance policies in a large public-sector environment.
This is not a developer role, but ideal candidates will have a strong development background and now specialize in cloud deployment, AI platform enablement, and DevOps.
Key Responsibilities
Build and maintain integrated Azure OpenAI and Cognitive Services environments, ensuring they are secure, scalable, and ready for use by application and business teams.
Provision and configure secure, policy-compliant Azure subscriptions with baseline networking & components (VNets, NSGs, private endpoints, app gateways) for Application teams using IaC/Bicep.
Implement role-based access control (RBAC) and Azure Policy enforcement
Work with development teams to create and maintain CI/CD pipelines and reusable infrastructure-as-code modules to support repeatable, automated deployments.
Create and support operational monitoring dashboards, logs, and documentation to enable effective management and incident response.
Through cross-team collaboration and knowledge sharing, provide guidance and support to business, infrastructure, and development teams.
Preferred:
AI-102, AZ-105, AZ-305, AZ-400 and other azure certifications.
Skill Preference Minimum Span
Direct experience integrating Azure OpenAI and Cognitive Services into applications or services, including security configuration, API management, and service limits. Required 3 Years
Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration and business enablement. Required 3 Years
Hands-on experience deploying Azure networking and working within a hub-spoke model. Required 3 Years
Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools. Required 2 Years
Familiarity with implementing and managing Azure Policies, RBAC, and resource tagging strategies Required 3 Years
Experience designing Azure environments with a private-by-default approach which includes use of Private Endpoints, disabling public IPs, restricting access via NSGs and Azure Firewall, and enforcing policies to prevent public exposure. Preferred 3 Years
Location: Raleigh, NC (Locals only)
Duration: 12 Months contract
On-site presence required up to 3 days per week.
The NC Department of Transportation Web Services group is seeking an Azure Cloud/AI enablement Engineer with strong hands-on experience integrating Azure OpenAI and Cognitive Services with new & existing workloads. This role will focus on building secure, scalable Azure environments, enabling intelligent application workloads, and building robust CI/CD pipelines and infrastructure-as-code deployments. The engineer will work closely with application teams to migrate and modernize workloads in Azure and assist business units in adopting Azure OpenAI and Cognitive Services. This role requires a proactive engineer who can contribute to documentation, knowledge sharing, and enforcement of cloud governance policies in a large public-sector environment.
This is not a developer role, but ideal candidates will have a strong development background and now specialize in cloud deployment, AI platform enablement, and DevOps.
Key Responsibilities
Build and maintain integrated Azure OpenAI and Cognitive Services environments, ensuring they are secure, scalable, and ready for use by application and business teams.
Provision and configure secure, policy-compliant Azure subscriptions with baseline networking & components (VNets, NSGs, private endpoints, app gateways) for Application teams using IaC/Bicep.
Implement role-based access control (RBAC) and Azure Policy enforcement
Work with development teams to create and maintain CI/CD pipelines and reusable infrastructure-as-code modules to support repeatable, automated deployments.
Create and support operational monitoring dashboards, logs, and documentation to enable effective management and incident response.
Through cross-team collaboration and knowledge sharing, provide guidance and support to business, infrastructure, and development teams.
Preferred:
AI-102, AZ-105, AZ-305, AZ-400 and other azure certifications.
Skill Preference Minimum Span
Direct experience integrating Azure OpenAI and Cognitive Services into applications or services, including security configuration, API management, and service limits. Required 3 Years
Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration and business enablement. Required 3 Years
Hands-on experience deploying Azure networking and working within a hub-spoke model. Required 3 Years
Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools. Required 2 Years
Familiarity with implementing and managing Azure Policies, RBAC, and resource tagging strategies Required 3 Years
Experience designing Azure environments with a private-by-default approach which includes use of Private Endpoints, disabling public IPs, restricting access via NSGs and Azure Firewall, and enforcing policies to prevent public exposure. Preferred 3 Years
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.