Shape AI security at the University of Toronto as an AI Security Architect and Red Team Lead. Drive adversarial testing capabilities and be the key authority on AI security threats.This unique role allows you to operate independently in establishing and leading the university’s adversarial testing function for AI systems. With a focus on both strategy definition and effective communication with senior leadership, you will play a vital role in shaping responsible AI practices. Your expertise in AI security will help identify vulnerabilities, evaluate third-party vendors, and support the development of robust AI security frameworks.Key Responsibilities:
Develop the university's AI red teaming function from scratch
Assess the AI threat landscape and define strategic needs
Communicate transparent,



actionable recommendations to leadership
Manage relationships with third-party red teaming providers
Establish internal security checks for responsible AI deploymentRequirements:
Bachelor’s degree in Computer Science, Cybersecurity, or related field
Minimum of 5 years of cybersecurity experience
At least 3 years focused on AI/ML security and red teaming
Relevant certifications preferred (OSCP, CEH, etc.)
Solid understanding of LLM architectures and AI attack vectorsLead the future of AI security and contribute to a responsible deployment strategy at the University of Toronto.#J-18808-Ljbffr

📌 Ai Security Architect At University Of Toronto
🏢 University of Toronto
📍 Toronto