AI Engineer :

The AI Engineer enables Microsoft Copilot on Gold-layer semantic models and lays the AI/ML foundation for advanced analytics. This role bridges data engineering and intelligent applications, ensuring Gold-layer data is AI-ready, well-governed, and optimised for conversational and predictive use cases.

Responsibilities :

- Configure and enable Microsoft Copilot on all Wave 1 Gold-layer Power BI semantic models

- Enable Power BI Q&A (natural language query) across certified semantic models with synonym tuning

- Ensure Gold-layer data structures, measure names, and metadata are AI-prompt-friendly

- Validate Copilot response accuracy and relevance against business KPI definitions

- Design the AI/ML readiness framework for feature store, model serving, data contracts

- Collaborate with the Solution Architect to define OneLake data contracts for ML workloads

- Implement Fabric Notebooks-based data science workflows (Spark MLlib / scikit-learn)

- Integrate Azure OpenAI / Azure AI Services where required for advanced language capabilities

- Ensure all AI outputs comply with data protection requirements

- Document Copilot configuration, limitations, and business-user guidance

- Support Power BI Copilot training sessions for analyst-level users