AI Enablement Engineer (Hybrid)
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Job description
The Client is seeking an AI Enablement Engineer with strong development experience in C#, Vue.js, Python, and the Azure ecosystem. The role centers on helping teams integrate Azure OpenAI, Copilot Studio, and other AI capabilities directly into enterprise applications. Supporting development teams in embedding AI into both new and existing applications, while also ensuring scalable, secure, and policy-compliant AI implementations. Ideal candidates will have a strong development background and specialize in Azure AI platform enablement., * Develop and guide AI integrations using C#, Vue.js, Python, and Azure services.
- Implement Azure OpenAI and Copilot Studio features in new and existing applications.
- Support teams with prompt engineering, API design, and secure AI adoption.
- Ensure scalable, performant AI workloads across Azure platforms.
- Collaborate with DevOps/SRE on observability, governance, and best practices.
- Bicep/Terraform useful but secondary to development and AI integration.
Requirements
- Experience with enterprise AI integration patterns.
- Familiarity with scaling AI workloads.
- AI-102, AZ-105, AZ-305, AZ-400 and other azure certifications., Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise apps, including security configuration, APIM, and limits Required 3 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 modernize .net, c#, vueJS, python apps re-platform to azure. Desired 2 Years Experience designing and implementing reusable infrastructure using Bicep and building automated pipelines with Azure DevOps, or similar tools.
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