AI Systems Engineer (Cyber Detection Engineering)
BMO — Toronto, ON, CAN
Posted 2026-08-31
Application Deadline: 09/29/2026 Address: 100 King Street West Job Family Group: Technology This role is HYBRID (2 days/week work in office) This role is within the Detection Engineering & Automation function of the Global Security Operations Center (GSOC) within the Cybersecurity domain. The AI Systems Engineer (Detection Engineering) is responsible for designing and operating AI‑driven detection engineering systems, with a focus on agent orchestration, workflow automation, and token‑efficient AI usage. This role is central to the organization’s transition to a Modern SOC, where detection development is performed primarily by LLMs, automation pipelines, and orchestrated agent systems, rather than manual engineering. Development of detections within the cybersecurity domain for the purposes of identifying external threats attempting to compromise the organization is the core focus area for this role. Key Accountabilities Designing AI systems, not writing cyber detections manually, where cyber detections are generated, validated, and maintained by AI workflows Orchestrating agents and workflows, not relying on single-model reasoning Using AI selectively and efficiently, combining LL