Drive innovation in detection engineering at BMO Financial Group as an AI Systems Engineer. This hybrid role emphasizes AI orchestration and automation in cybersecurity workflows.
As a key member of the Detection Engineering & Automation team, you will design systems that empower AI-driven detection methods. The focus will be on automating processes and minimizing manual intervention, contributing to a Modern SOC setting. Your role will combine the use of AI tools with deterministic approaches to improve efficiency.
Key Responsibilities:
• Design and implement AI-driven detection workflows • Optimize multi-agent systems for detection tasks • Manage context engineering and token efficiency • Integrate systems within CI/CD frameworks • Actively explore and utilize frontier AI models
Requirements: • Bachelor’s degree in Cybersecurity or Engineering • Extensive experience with AI and LLMs in practical settings • Proficiency in programming, especially in Python • Understanding of automated workflows and detection systems • Flexible and effective in evolving security landscapes
Be at the forefront of cybersecurity innovation at BMO, enhancing the organization’s defensive capabilities as an AI Systems Engineer.
📌 BMO AI Systems Engineer for Cybersecurity (Winnipeg)
🏢 Bank of Montreal
📍 Winnipeg
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