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 work from home. This hybrid role within BMO's Detection Engineering & Automation function emphasizes designing AI systems rather than manual detection engineering. You will architect efficient 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.

📌 AI Systems Engineer at BMO Financial Group (Toronto)
🏢 Bank of Montreal
📍 Toronto