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.
- Solid experience in Generative AI (GenAI).
- Hands-on experience with Azure AI Foundry.
- Experience with Azure OpenAI Services.
- Strong 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.
- Strong understanding of GenAI Ops (LLMOps/MLOps).
- Experience creating reusable AI frameworks and design patterns.
- Strong architecture, communication, and stakeholder management skills.

Preferred Skills:
- Azure AI Search
- Azure Machine Learning
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- Vector Databases
- Semantic Kernel
- LangChain / LangGraph
- Python
- Azure DevOps / GitHub Actions
- Kubernetes / Docker

📌 AI Architect – GenAI / Azure AI Foundry & Databricks (Toronto)
🏢 J M Group
📍 Toronto