Address:

#ARCisHiring

About the Role

As an AI Engineer, you will play a critical role in building BMO’s next-generation agentic AI ecosystem, enabling scalable, AI-driven automation across enterprise workflows.

You will work on a multi-year transformation initiative focused on delivering production-grade AI agents and orchestration platforms, leveraging Large Language Models (LLMs) and Azure AI services to drive operational efficiency, decision augmentation, and enhanced user experiences.

This role combines hands-on engineering, platform design, and technical leadership, giving you the opportunity to shape foundational capabilities that will be reused across the enterprise.

🔹 Why This Role is Unique

• Opportunity to build enterprise-scale AI agent ecosystems (multi-agent orchestration)
• Direct impact on digital-first transformation initiatives
• Work on Azure-native AI platform (including Foundry where applicable)
• Influence governance, evaluation frameworks, and AI safety standards

🔹 Role Summary

• Lead the design and development of an enterprise Agent Ecosystem, including orchestration, agent lifecycle management, and integration patterns
• Act as a player-coach, combining hands-on development with technical leadership and architectural guidance
• Establish foundational design patterns and reusable frameworks to scale agent development across teams

🔹 Key Responsibilities

🔧 Agent Platform & Orchestration

• Design and implement orchestration layers (routing, tool calling, workflow coordination, memory/state management)
• Build and integrate agent registries and lifecycle management frameworks
• Implement resilient execution patterns (fallbacks, retries, error handling)

🧩 Enterprise AI Engineering

• Define reusable agent templates, SDKs, and platform abstractions
• Integrate Azure AI services and enterprise systems
• Enable scalable deployment and lifecycle management of agents

📊 Observability & Reliability

• Establish monitoring (logging, tracing, metrics, drift detection)
• Build operational dashboards and alerting frameworks for AI systems

🛡️ Governance & AI Evals

• Embed governance, auditability, and responsible AI controls
• Integrate evaluation pipelines to assess performance, safety, and drift

🤝 Strategic Collaboration

• Translate business vision into architecture and delivery plans
• Partner with product and leadership to drive roadmap and execution

🔹 Required Qualifications

• 5–7+ years in software engineering with strong AI/ML focus
• Experience building LLM-powered applications or agent-based systems
• Deep expertise in Azure cloud ecosystem
• Strong understanding of:
  • Multi-agent orchestration
  • Tool calling / routing
  • State & memory management
• Hands-on experience with observability in AI systems
• Proven track record of delivering end-to-end AI solutions

🔹 Preferred

• Experience with Azure AI Foundry / emerging Microsoft AI tooling
• Exposure to AI evaluation frameworks and governance models
• Experience designing enterprise platforms (identity, registry, access control)
• Background in regulated industries (e.g., financial services)

NOTE - This is a hybrid position based in Toronto, with at least two to three days per week expected to be onsite in the office.

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: