Senior Product Security Engineer - AI & LLM

Requirements

• Strong understanding of systems engineering and architecture in complex environments
• Experience applying security controls across applications, infrastructure, and platforms
• Expertise in threat modelling, secure design review, and secure software development practices
• Knowledge of authentication, authorization, secrets management, and observability practices
• Experience reviewing third-party platforms, SaaS services, APIs, and open-source components from a security perspective
• Ability to work collaboratively in fast-paced engineering environments with a practical approach to problem solving
• Interest in AI systems, including security risks related to LLMs, agents, and data workflows

What You'll Be Doing

• Partner with engineering and platform teams to define and implement security for AI and LLM-based systems
• Perform threat modelling, architecture reviews, and security assessments for AI use cases
• Design and implement security controls for AI applications, agents, model integrations, and data flows
• Define secure patterns for access control, secrets management, logging, monitoring, and safe execution
• Assess risks including prompt injection, data leakage, excessive permissions, and third-party AI dependencies
• Contribute to reusable security patterns, guidance, and guardrails for teams building AI systems
• Support security testing, vendor assessments, and incident response for AI-enabled applications

Perks and Benefits

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.