Hands-on knowledge of cloud-native data platforms and services, preferably Microsoft Azure including Microsoft Fabric, Synapse, ADLS Gen2, Azure SQL, Data Factory/Synapse Pipelines, Azure Functions, Event Hubs, Databricks, Power BI, Purview, Key Vault, Monitor, Log Analytics, and Sentinel integrations. Strong understanding of AI/ML architecture including model lifecycle, supervised/unsupervised learning concepts, feature engineering, prompt grounding, vector stores, LLM/RAG solution patterns, Copilot/agent architectures, responsible AI, model risk, and hallucination mitigation.