Lead AI Engineer

Key Responsibilities: 1. Customer Engagement & Requirements Discovery 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. 2. AI Solution Architecture & Design 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 solutions adhere to enterprise standards for scalability, performance, privacy, and governance. 3. Consulting & Thought Leadership ...

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