Azure Cloud/AI Enablement Engineer

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DataStaff, Inc. is in need of an Azure Cloud/AI Enablement Engineer for a long-term contract opportunity with one of our direct clients in Raleigh, NC

*This is a hybrid position, 3 days will be on-site

Job Description:

Our 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.

Note: 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.

Required Skills:

• 3 Years - Direct experience integrating Azure OpenAI and Cognitive Services into applications or services, including security configuration, API management, and service limits.
• 3 Years - Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration and business enablement.
• 3 Years - Hands-on experience deploying Azure networking and working within a hub-spoke model.
• 2 Years - Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.
• 3 Years - Familiarity with implementing and managing Azure Policies, RBAC, and resource tagging strategies

Preferred Skill:

• 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 Certifications:

• AI-102, AZ-105, AZ-305, AZ-400 and other azure certifications.

This opportunity is available on a corp to corp basis or as a W2 position with a competitive benefits package . DataStaff, Inc. offers medical, dental and vision coverage options as well as paid vacation, sick and holiday leave. As many of our opportunities are long-term, we also have a 401K program available for employees after 6 months.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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