Verified Job
Engineering - Architecture
Role:AI Architect – GenAI / Azure AI Foundry & Databricks
Engineering - Architecture
#773750
Remote / WFH
J&M Group
Job Description
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.
• 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
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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.
• 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
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