AI Architect
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-09-20
Listing for:
REALIGN LLC
Full Time
position Listed on 2026-09-20
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Role: AI Architect
Employment: Full Time
Location: Toronto, ON
Work Arrangement: Onsite
We are seeking a Full Time AI Architect with strong expertise in Generative AI and Agentic AI to design and architect enterprise-grade AI solutions using Azure AI Foundry and Databricks. The ideal candidate will lead AI architecture, PoCs, governance, responsible AI, deployment, and enterprise adoption initiatives
Key Responsibilities- Design and architect enterprise-grade Generative AI and Agentic AI solutions using Azure AI Foundry and Databricks
- Develop hands-on prototypes, PoCs, and reference implementations
- Build scalable Agentic AI architectures with multi-agent orchestration, tool integration, planning, reasoning, and autonomous workflows
- Define reusable Agentic AI frameworks, accelerators, and architecture patterns
- Lead AI deployment strategies focused on scalability, reliability, security, and maintainability
- Establish AI governance, model lifecycle management, auditing, and compliance controls
- Implement Responsible AI principles covering fairness, transparency, privacy, security, and ethics
- Collaborate with business stakeholders, data scientists, engineers, and product teams
- Define enterprise AI architecture standards, best practices, and technical guidelines
- Implement observability, monitoring, performance optimization, and risk management
- Guide engineering teams through architecture reviews and AI development best practices
- Strong Generative AI and Agentic AI architecture experience
- Hands-on Azure AI Foundry and Databricks experience
- Experience designing multi-agent AI systems and autonomous workflows
- Strong knowledge of AI governance, Responsible AI, security, and compliance
- Experience with AI deployment, monitoring, observability, and performance optimization
- Strong enterprise architecture and technical leadership skills
- Excellent stakeholder collaboration and communication skills
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