AI Enablement Engineer

Title AI Enablement Engineer Location Raleigh, NC (Hybrid)  Duration 12 Months Interview Type Either Webcam Interview or In Person Job Type C2C,W2     Job Description NCDIT-T Web Systems is seeking a hybrid-skilled AI Platform Architect & Enablement Engineer with deep experience in Azure OpenAI, Copilot Studio, and AI integration into enterprise applications. • NCDIT-T Web Systems is seeking a hybrid-skilled AI Platform Architect & Enablement Engineer with deep experience in Azure OpenAI, Copilot Studio, and AI integration into enterprise applications. • This role bridges infrastructure and AI enablement-supporting development teams in embedding AI into both new and existing applications, while ensuring scalable, secure, and policy-compliant Azure implementations. • 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. • Ideal candidates will have a strong development background and specialize in AI platform enablement. Key Responsibilities • Lead the design and implementation of Copilot Studio and Azure OpenAI solutions for both internal and public-facing applications. • Guide development teams on embedding AI into existing and new applications, including prompt engineering, API integration, and data flow design. • Architect and scale AI platforms to support high-concurrency, low-latency workloads, including peak load planning and autoscaling strategies. • Build and maintain secure, scalable Azure environments using Infrastructure-as-Code (Bicep/Terraform) and CI/CD pipelines. • Collaborate with DevOps and SRE teams to ensure observability, governance, and compliance across AI workloads. • Serve as a technical advisor and mentor to development teams, helping them adopt AI responsibly and effectively. Skill Required / Desired Amount of Experience Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise applications or services, including security configuration. Desired 2 Years Experience guiding application teams on AI integration strategies. Required 2 Years Experience with scaling AI workloads. Desired 1 Years Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration. Desired 2 Years Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools. Desired 2 Years