AI Security Engineer

Canada - Toronto · CAD 92,000-105,000 · 5+ years experience · Posted Oct 13, 2026

At a glance

As an AI Security Engineer, you will work at the intersection of software engineering, cybersecurity, and artificial intelligence.
You will design and build security tools, assess AI-powered applications for vulnerabilities, evaluate third-party and open-source AI technologies, and help establish secure development standards for AI systems.
This is a hands-on engineering role for someone who enjoys building solutions, solving complex technical problems, and exploring emerging security risks across technologies such as Generative AI, RAG, and agentic systems.

Design, build, and implement tools for AI security testing, penetration testing, red teaming, and continuous vulnerability assessment.
Develop mock and test AI applications to evaluate internal and third-party AI security solutions.
Identify and assess security risks within AI-enabled applications and workflows.
Develop security requirements, standards, and best practices for securely building and deploying AI applications.
Evaluate third-party vendors, open-source tools, libraries, and AI technologies from a security perspective.
Integrate security testing and evaluation capabilities into CI/CD pipelines and development workflows.
Build scalable security tooling and automation that can be adopted across different teams and environments.
Troubleshoot applications and solve complex engineering and security problems.
Partner with engineering teams, security professionals, customers, vendors, and business stakeholders to understand requirements and deliver practical solutions.
Create clear technical documentation covering tools, features, security assessments, testing methodologies, and findings.

5+ years of software development experience building and supporting production applications.
Strong hands-on programming experience with Python.
Experience working with RESTful APIs and structured data formats such as JSON, XML, CSV, and HTML.
Experience with CI/CD pipelines and modern software development practices.
Strong Linux and scripting skills.
Experience troubleshooting and supporting production applications.
Understanding of core application security concepts, including authentication, authorization, encryption, secrets management, and secure development practices.
Experience with Microsoft Azure, including foundational cloud networking and security concepts.
Understanding of modern AI application architectures, including Retrieval-Augmented Generation (RAG), LLM-based applications, and agentic systems.
Strong communication and collaboration skills, with the ability to work effectively with engineers, security teams, leadership, customers, and vendors.

Experience with penetration testing, application security testing, or security red teaming.
Hands-on experience assessing the security of Generative AI or LLM-based applications.
Familiarity with AI security risks such as prompt injection, data leakage, insecure tool usage, and adversarial testing.
Security certifications such as CISSP or equivalent.
Experience building or integrating automated security testing into CI/CD pipelines.