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S.i. Systems
AI Security Automation Engineer to develop and operationalize AI-assisted cybersecurity workflowsS.i. Systems • Edmonton
AI Security Automation Engineer to develop and operationalize AI-assisted cybersecurity workflows

AI Security Automation Engineer to develop and operationalize AI-assisted cybersecurity workflows

S.i. Systems • Edmonton
8 days ago
Job type
  • Full-time
Job description

Our financial services client is seeking an AI Security Automation Engineer to develop and operationalize AI-assisted cybersecurity workflows using agentic AI, LLMs, and security operations processes - JP

Join a cybersecurity team advancing AI initiatives within Incident Response and security operations. This role focuses on designing, testing, and operationalizing AI-assisted and agentic workflows supporting investigation efficiency, automation, and security analysis activities. The position combines hands-on AI workflow development with cybersecurity investigation and operational security expertise across enterprise-scale environments. The contractor will work independently while collaborating closely with Incident Response stakeholders and technology partners.

Contract, 6 months (Extension possible)

Toronto, Hybrid (2 days on site/remote)

Must Haves

  • 7+ years in Incident Response, threat detection, digital forensics, security operations, or threat intelligence
  • Hands-on work with agentic AI workflows, LLM-based applications, automation pipelines, and AI-assisted workflows
  • Practical familiarity with tool calling, retrieval-augmented generation, workflow orchestration, prompt engineering, and human-in-the-loop review
  • Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, OpenAI Assistants/Agents SDKs, GitHub Copilot SDK, or Azure AI Foundry
  • Postsecondary education

Nice to Have

  • Professional security certification such as CISSP, GCIH, GCFA, GCFE, or GCFR
  • Experience with SIEM, SOAR, EDR, case management, or threat intelligence platforms

Responsibilities

  • Design and evaluate agentic AI workflows supporting Incident Response use cases including alert triage, investigation planning, evidence summarization, and reviewer routing
  • Build AI-enabled workflow prototypes using agent development frameworks and SDKs
  • Develop structured agent workflows involving retrieval-augmented generation, tool calling, workflow routing, and human approval checkpoints
  • Create evaluation approaches for AI-assisted security workflows including backtesting, hallucination analysis, regression testing, and precision or recall measurement
  • Support observability and auditability for AI workflows including logging, model selection tracking, tool calls, and reviewer decisions
  • Document workflow assumptions, guardrails, escalation criteria, fallback procedures, and operational controls for AI-enabled security workflows
  • Assess integration patterns between AI workflows and security platforms including SIEM, SOAR, EDR, threat intelligence, and case management systems


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AI Security Automation Engineer to develop and operationalize AI-assisted cybersecurity workflows using agentic AI, LLMs, and security operations processes - JP1502 • Edmonton

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