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.
Required/Desired Skills
| 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 |
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. The candidate will need to come on-site on the first day to collect equipment. All ca...
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.
Required/Desired Skills
| 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 |
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