Elevate cybersecurity with BMO Financial Group as an AI Systems Engineer. Focus on AI-driven detection engineering and orchestration in a hybrid work workplace 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 cutting-edge technology meets impactful safety.

📌 Ai Systems Engineer At Bmo Financial Group Toronto
🏢 Bank of Montreal
📍 Toronto