NCDIT-T Web Systems is seeking an AI Platform Architect & Enablement Engineer to integrate AI into enterprise applications, ensuring scalable, secure, and policy-compliant Azure implementations.
Requirements
- Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise applications or services, including security configuration.
- Experience guiding application teams on AI integration strategies.
- Experience with scaling AI workloads.
- Experience working with app teams to migrate, modernize, or re-platform workloads in Azure, including supporting legacy integration.
- Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.
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.
Other
- 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.
