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. Robust 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 up-to-date 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
🏢 Cloud Resourcing
📍 Toronto