Location
toronto, on, Canada
Posted
June 16, 2026
Job Description
Become a vital part of BMO as an AI Engineer in Toronto, focusing on next-gen AI ecosystems. Drive scaled AI automation while leveraging Large Language Models and Azure AI services.
You will work on a multi-year initiative to build an agentic AI ecosystem that enhances enterprise efficiency and user experiences. This role blends hands-on engineering and leadership, allowing you to establish reusable frameworks for expansive AI development. You will also play a critical role in influencing AI governance and delivering production-grade AI solutions.
Key Responsibilities: • Lead design of enterprise Agent Ecosystem and orchestration • Develop agent lifecycle management and integration patterns • Build resilient execution frameworks for AI systems • Establish observability with monitoring and dashboard creation • Collaborate with product leadership on architecture and delivery
Requirements: • 5–7+ years in software engineering, AI/ML focused • Experience building...
You will work on a multi-year initiative to build an agentic AI ecosystem that enhances enterprise efficiency and user experiences. This role blends hands-on engineering and leadership, allowing you to establish reusable frameworks for expansive AI development. You will also play a critical role in influencing AI governance and delivering production-grade AI solutions.
Key Responsibilities: • Lead design of enterprise Agent Ecosystem and orchestration • Develop agent lifecycle management and integration patterns • Build resilient execution frameworks for AI systems • Establish observability with monitoring and dashboard creation • Collaborate with product leadership on architecture and delivery
Requirements: • 5–7+ years in software engineering, AI/ML focused • Experience building...