AI Platform Architect

Position Title: AI Enablement Engineer/AI Platform Architect Location: Raleigh, NC Position Type: Onsite Interview Process: Video Or In Person 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 Required: 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 Job Type: Contract Pay: $80.00 - $90.00 per hour Expected hours: 40 per week Experience: Integrating Azure OpenAI, Copilot Studio and other AI: 3 years (Required) application teams on AI integration strategies: 2 years (Required) scaling AI workloads.: 2 years (Required) pipelines with Azure DevOps: 3 years (Required) API/data flow design: 3 years (Required) Work Location: On the road