
AI Systems Engineer (Cyber Detection Engineering)
BMO Financial Group2 hours ago
Toronto, CanadaSenior
Base Salary
$80k - $175k/yr
Responsibilities
- Design AI systems that generate, validate, tune, document, and maintain cyber detections through AI workflows.
- Design and implement multi-agent systems, orchestrators, specialized sub-agents, agent interaction patterns, and tool-augmented workflows.
- Combine LLM reasoning with deterministic Python services, rule engines, processing pipelines, and validation layers.
- Optimize context windows, compression, reuse, RAG, workflow state, token consumption, latency, and cost.
- Integrate AI systems into detection-as-code, CI/CD, testing, validation, deployment, versioning, traceability, and audit workflows.
- Apply cybersecurity context including adversary behaviors, attack techniques, threat intelligence, and incident learnings.
Requirements
- Bachelor’s degree or higher in Cybersecurity, Engineering, or another relevant discipline.
- Deep hands-on personal and professional experience using modern AI tools and frontier LLMs such as Claude or GPT-class models.
- Experience designing or implementing AI workflows, multi-agent or orchestrated systems, and tool-augmented LLM pipelines.
- Strong understanding of prompt engineering, context-window management, and token-optimization strategies.
- Experience building deterministic systems alongside AI, including Python-based workflows, services, or automation.
- Strong programming skills in Python or a similar language and foundational cybersecurity experience in areas such as SOC, detection engineering, or security tooling.
- Ability to work effectively in ambiguous and rapidly evolving environments.
- Preferred: experience with AWS Bedrock or similar enterprise AI platforms, Splunk, SIEM, detection engineering workflows, SOAR platforms, Splunk SOAR, AI-generated SOAR playbooks, detection-as-code, CI/CD, DevOps practices, or regulated environments.
Benefits
- Hybrid work arrangement requiring two days per week in the office.
- Health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, training, coaching, manager support, and network-building opportunities.
Tech Stack
PythonSplunk