AI Security Engineer (Cybersecurity)

TL;DR

AI Security Engineer (Cybersecurity): Assessing and mitigating AI/ML-specific security risks across pipelines and infrastructure with an accent on model integrity, prompt injection, and agentic threat vectors. Focus on implementing security tooling, enforcing secure AI development practices, and designing AI governance frameworks.

Location: Hybrid (3 days/week in Oakville, ON)

Salary: $175,000 - $215,000

Company

hirify.global is a leading provider of AI-powered cloud-based software designed to streamline financial and administrative management for public sector and government organizations.

What you will do

• Assess and mitigate AI/ML-specific security risks, including model integrity, data poisoning, and prompt injection.
• Implement and maintain security tooling and automation across AI/ML pipelines and infrastructure.
• Define and enforce secure AI development practices throughout the full SDLC.
• Evaluate and secure agentic AI systems, multi-agent architectures, and autonomous decision-making pipelines.
• Contribute to AI governance initiatives, policy development, and responsible AI frameworks.
• Own AI security projects end-to-end from conception through delivery.

Requirements

• 5–8 years of experience in security engineering or DevSecOps with recent hands-on exposure to AI/ML environments.
• Strong foundation in application security, cloud security, network security, and DevSecOps.
• Familiarity with AI/ML security frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act.
• Proficiency in Python and at least one additional scripting language (Ruby or Shell).
• Hands-on experience with AWS, Azure, or GCP.
• Must be based in or able to work hybrid (3 days/week) in Oakville, ON.

Nice to have

• Direct experience with LLM security, model red-teaming, or AI threat modeling.
• Experience securing agentic AI systems using LangChain, AutoGen, or CrewAI.
• Contribution to AI governance programs or risk registers.
• CI/CD pipeline development for AI/ML workloads and containerization (Docker, Kubernetes, Helm).

Culture & Benefits

• Competitive wages with a standard 40-hour work week.
• Two additional wellness days per year on top of long weekends.
• Flexible workday arrangements tailored to the employee and role.
• Comprehensive health and dental benefits.
• Active culture and community engagement committees focusing on local impact and team events.