Elevate cybersecurity with BMO Financial Group as an AI Systems Engineer. Focus on AI-driven detection engineering and orchestration in a hybrid work environment that blends office and remote work.
This hybrid role within BMO's Detection Engineering & Automation function emphasizes designing AI systems rather than manual detection engineering. You will architect productive workflows, utilize agent orchestration, and employ token-efficient AI solutions. Your impact will be crucial in transitioning to a Modern SOC, enhancing AI capabilities while minimizing costs and improving reliability.
Key Responsibilities:
• Design AI systems for automated detection generation
• Create orchestrated workflows and multi-agent systems
• Optimize agent interaction patterns and processing pipelines




• Integrate AI workflows into CI/CD processes
• Act as a subject matter expert on AI tooling
Requirements:
• Bachelor’s degree in Cybersecurity or Engineering
• Hands-on experience with frontier LLMs and AI tools
• Strong programming skills, especially in Python
• Expertise in prompt engineering and token optimization
• Ability to thrive in rapidly evolving settings
Contribute to cutting-edge cybersecurity solutions as an AI Systems Engineer at BMO, where innovative technology meets impactful safety.
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📌 AI Systems Engineer at BMO Financial Group (Toronto)
🏢 Bank of Montreal
📍 Toronto