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 setting.

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
Adaptable 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