Azure OpenAI Engineer
Posted 1 week ago by 1755323555
Negotiable
Outside
Hybrid
USA
Summary: The Azure AI Enablement Engineer role focuses on integrating Azure OpenAI and Cognitive Services into existing workloads while building secure and scalable Azure environments. The engineer will collaborate with application teams to modernize workloads and enforce cloud governance policies in a public-sector context. This position requires a proactive individual with a strong development background, specializing in cloud deployment and DevOps practices. The role is not primarily development-focused but emphasizes cloud enablement and infrastructure management.
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.
Key Skills:
- Direct experience integrating Azure OpenAI and Cognitive Services into applications or services, including security configuration, API management, and service limits.
- Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration and business enablement.
- Hands-on experience deploying Azure networking and working within a hub-spoke model.
- Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.
- Familiarity with implementing and managing Azure Policies, RBAC, and resource tagging strategies.
- 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.
- Microsoft certifications including PL-900, AI-900, AI-102, MS-900.
Salary (Rate): undetermined
City: Raleigh
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Position : Azure AI Enablement Engineer
Location : Raleigh, NC, USA
Interview : F2F Final level,
JD:
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
|
Preferred:
Microsoft certifications includingPL-900, AI-900, AI-102, MS-900