Generative AI / Agentic AI Architect – Azure AI Foundry & Databricks

Key Responsibilities

- Design and architect enterprise-grade Generative AI and Agentic AI solutions using Azure AI Foundry and Databricks.
- Develop hands-on prototypes, Proof of Concepts (PoCs), and reference implementations to validate business use cases.
- Create and implement scalable Agentic AI architectures, including multi-agent orchestration, tool integration, planning, reasoning, and autonomous workflow execution.
- Define reusable Agentic AI frameworks, accelerators, and patterns that can be leveraged across multiple business domains.
- Lead AI solution deployment strategies, ensuring scalability, reliability, security, and maintainability.
- Establish AI governance frameworks, model lifecycle management, auditing, and compliance controls.




- Drive Responsible AI enablement by incorporating fairness, transparency, privacy, security, and ethical AI principles into solution designs.
- Collaborate with business stakeholders, data scientists, engineers, and product teams to translate business requirements into AI solutions.
- Define AI architecture standards, best practices, and technical guidelines for enterprise adoption.
- Implement observability, monitoring, performance optimization, and risk management for GenAI applications.
- Guide engineering teams on AI development best practices, architecture reviews

📌 Generative AI / Agentic AI Architect – Azure AI Foundry & Databricks (Toronto)
🏢 Astra North Infoteck
📍 Toronto