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About the role

  • AI Security Engineer working at Euna Solutions to assess and mitigate AI/ML-specific security risks. Define and enforce secure AI practices across development cycles while collaborating with engineering teams.

Responsibilities

  • Assess and mitigate AI/ML-specific security risks
  • Implement and maintain security tooling, automation, and processes across AI/ML pipelines and infrastructure
  • Define and enforce secure AI development practices across the full SDLC
  • Evaluate and secure agentic AI systems
  • Contribute to AI governance initiatives
  • Embed AI security controls cross-functionally across engineering and operations teams
  • Own AI security projects end-to-end, from conception through delivery

Requirements

  • 5–8 years in security engineering, DevSecOps, or a related discipline
  • Solid foundation across multiple security domains: application security, cloud security, network security, and/or DevSecOps
  • Working familiarity with AI/ML security frameworks — OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act
  • Awareness of agentic AI architectures and the risks they introduce
  • Proficiency in Python and at least one additional scripting language (Ruby or Shell)
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
  • Direct experience with LLM security, model red-teaming, or AI threat modeling (Nice-to-Have)

Benefits

  • Competitive wages
  • Wellness days
  • Community Engagement Committee
  • Flexible workday
  • Health and dental benefits
  • Culture committee

Job type

Full Time

Experience level

Mid levelSenior

Salary

$175,000 - $215,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudGoogle Cloud PlatformPythonRubySDLC

Location requirements

HybridOakvilleCanada

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