Azure AI Engineer AU
21 hours ago
Core Qualifications
- Experience: 3–6 years in AI/ML engineering or cloud-native development on Microsoft Azure.
- Programming: Strong in Python and/or C# a plus).
- Azure stack: Hands-on with Azure OpenAI, Cognitive Services, Cognitive Search, Dataverse, Azure SQL, vector DBs, and Copilot Studio.
- Delivery: Proven deployment of copilots and AI solutions in production.
- Education: Bachelors in computer science, AI, or related field (or equivalent practical experience).
Preferred
- Certifications: AI-102 (Azure AI Engineer Associate), DP-100, AZ-204, AZ-400.
- Copilot Studio customization: Experience building copilots with custom connectors, plugins, and Power Platform integration.
- Prompt engineering & RAG best practices.
- Enterprise-scale deployments: Integrating copilots into enterprise ecosystems
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