Role:AI Architect – GenAI / Azure AI Foundry & Databricks (Toronto)

Role:AI Architect – GenAI / Azure AI Foundry & Databricks (Toronto)

01 Aug
|
Ju0026amp;M Group
|
Toronto

01 Aug

Ju0026amp;M Group

Toronto

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.

- 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.

- 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

- LangChain / LangGraph

- Python

- Azure DevOps / GitHub Actions

- Kubernetes / Docker

📌 Role:AI Architect – GenAI / Azure AI Foundry & Databricks (Toronto)
🏢 Ju0026amp;M Group
📍 Toronto

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