Role:AI Architect GenAI / Azure AI Foundry & Databricks Location: Toronto,ON Canada (Hybrid) Duration: 12 months Key Responsibilities: Design and architect enterprise-grade Generative AI solutions on Microsoft Azure.

Build hands-on proof of concepts (POCs) and production-ready AI prototypes.

Design and implement Agentic AI architectures using Azure AI Foundry.

Develop reusable AI frameworks and Agentic AI patterns for enterprise use cases.

Architect AI solutions using Azure AI Foundry, Azure OpenAI, Databricks, and Azure AI Services .

Define AI deployment, orchestration, governance, monitoring, and lifecycle management strategies.

Implement Responsible AI practices including security, compliance, privacy, and model governance.

Establish GenAI Ops best practices for CI/CD, model versioning, deployment automation, monitoring, and optimization.

Collaborate with business stakeholders to translate AI use cases into scalable technical solutions.

Provide technical leadership, architecture guidance, and AI best practices across engineering teams.

Required Skills:



10+ years of IT experience with Solution/AI Architecture.

Strong experience in Generative AI (GenAI) .

Hands-on experience with Azure AI Foundry .

Experience with Azure OpenAI Services .

Solid expertise in Databricks .

Experience designing Agentic AI architectures.

Ability to build AI prototypes and proof of concepts.

Experience with AI deployment, orchestration, and governance.

Knowledge of Responsible AI implementation on Azure.

Solid understanding of GenAI Ops (LLMOps/MLOps) .

Experience creating reusable AI frameworks and design patterns.

Robust architecture, communication, and stakeholder management skills.

Preferred Skills: Azure AI Search Azure Machine Learning Prompt Engineering RAG (Retrieval-Augmented Generation) Vector Databases Semantic Kernel Lang

Chain / Lang

Graph Python Azure Dev

Ops / Git

Hub Actions Kubernetes / Docker

📌 Role:ai Architect – Genai / Azure Ai Foundry & Databricks Toronto
🏢 J M Group
📍 Toronto