AI Enablement Engineer (Hybrid)

Job Title :

• AI Enablement Engineer (Hybrid) Location : Raleigh, NC Duration : 12 Month Job Description : The client 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.

Skills :