Drive innovation in detection engineering at BMO Financial Group as an AI Systems Engineer. This hybrid role emphasizes AI orchestration and automation in cybersecurity workflows. As a key member of the Detection Engineering & Automation team, you will design systems that empower AI-driven detection methods. The focus will be on automating processes and minimizing manual intervention, contributing to a Contemporary SOC environment.

Your role will combine the use of AI tools with deterministic approaches to improve efficiency. Key Responsibilities:

- Design and implement AI-driven detection workflows
- Optimize multi-agent systems for detection tasks
- Manage context engineering and token efficiency
- Integrate systems within CI/CD frameworks
- Actively explore and utilize frontier AI models Requirements:
- Bachelor’s degree in Cybersecurity or Engineering
- Extensive experience with AI and LLMs in practical settings
- Proficiency in programming, especially in Python
- Understanding of automated workflows and detection systems
- Flexible and effective in evolving security landscapes Be at the forefront of cybersecurity innovation at BMO, enhancing the organization’s defensive capabilities as an AI Systems Engineer.

📌 BMO AI Systems Engineer for Cybersecurity (Toronto)
🏢 Bank of Montreal
📍 Toronto