Design enterprise data architectures for AI and machine learning workloads in Toronto, using Azure data platforms and conceptual, logical, and physical modeling. Cloud Resourcing seeks a Data Architect focused on AI/ML, Generative AI, analytics, and cloud workloads. The position requires designing data models and defining requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines. Strong Azure expertise supports scalable solutions. Key Responsibilities:

Design enterprise data architectures for AI and machine learning workloads Create conceptual, logical, and physical data models Define data requirements for training, inference, RAG, and features Support scalable architectural patterns for AI/ML solutions Address analytics and cloud workload data needs Requirements:

10 to 15 years of experience Deep expertise in modern cloud data platforms Robust Azure data and AI ecosystem knowledge Experience with Azure Machine Learning Knowledge of Microsoft Foundry and Azure AI Foundry Apply enterprise architecture, Azure expertise, and AI/ML data modeling to support scalable solutions in Toronto.

📌 Enterprise AI Data Architect Toronto (Winnipeg)
🏢 Indotronix UK
📍 Winnipeg