Lead AI Engineer

• Lead customer workshops to understand goals, processes, challenges, and expected outcomes.
• Translate business requirements into structured AI use cases with clear feasibility, ROI, and prioritization.
• Conduct current‑state assessments covering data readiness, integration needs, compliance, and security.

• Design end‑to‑end AI solutions using:
• Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Azure Cognitive Services, Azure Data Platform (ADLS, Fabric, Databricks, Synapse)
• Vector search, embeddings, and retrieval‑augmented generation (RAG)
• Develop architecture diagrams, data flows, integration patterns, and system component definitions.
• Define solution options, trade‑offs, and best‑fit recommendations based on business value and risk.
• Ensure...

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