Description
The AI Engineer will design and lead agentic AI, RAG, vector-database, machine learning, and MLOps solutions for enterprise clients. The role covers the full data and AI lifecycle, including data preparation, modeling, training, evaluation, deployment, security, compliance, governance, technical proposals, workshops, and PoC/MVP delivery. It requires 15+ years of experience in data, AI, or machine learning engineering and strong exposure to the Microsoft Clienture stack, including Foundry, Synapse, Fabric, Copilot Studio, Databricks, and Power BI.
