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 workplace. 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
• Versatile 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.
J-18808-Ljbffr

📌 Bmo Ai Systems Engineer For Cybersecurity Toronto (Canada)
🏢 Bank of Montreal
📍 Canada