Job Description What is the opportunity? As an AI Security Control Developer/Site Reliability Engineer (Global Security) on the AI Security team, you will build, operate, and continuously validate the security controls that protect RBC's enterprise AI ecosystem — spanning hundreds of AI agents, MCP servers, gateways, and agentic workflows. Applying site reliability engineering principles, you will design and implement detective and preventative controls, metrics, alerting, and automated response mechanisms to ensure AI security boundaries operate reliably 24/7. You will be on-call on a rotating basis, ensuring security control reliability around the clock — accelerating regulatory readiness and setting new standards for AI security operational excellence. What will you do? Design, develop, and maintain detective and preventative controls to detect policy violations, unauthorized activity, and risky agent behavior at runtime using gateway logs and platform telemetry as data sources Apply SRE principles (SLOs, SLIs, error budgets) to AI security controls, designing and implementing the alerting architecture, escalation paths, triage runbooks, and self-healing mechanisms to ensure 24/7 operational resilience Build comprehensive metrics dashboards and alerting for control health, detection accuracy (true/false positive rates), and coverage Build and maintain automated testing pipelines for continuous validation of LLM Gateway controls (data masking, sensitive information detection, prompt injection prevention) using synthetic test data and known attack pattern libraries Build strong partnerships and collaboration with AI platform teams, MLOps, DevOps, IAM, and Security Architecture to define and integrate security controls What do you need to succeed? Must-have Bachelor's degree (or equivalent) in Computer Science, Software Engineering, Cybersecurity, or a related field 5+ years of software engineering or SRE experience with strong, production-level Python proficiency Experience building containerized services using Kubernetes or OpenShift Experience with Open Policy Agent (OPA) or policy-as-code frameworks Experience with SRE practices including SLOs/SLIs, error budgets, observability, alerting, incident response, and on-call rotations Experience defining and implementing infrastructure and application pipelines Ability to deliver robust, production-ready AI security solutions and platforms, drive continuous improvement, advocate for safety and privacy-by-design, and communicate effectively with technical and business stakeholders Excellent organizational, communication, interpersonal, and motivational skills in achieving business objectives Nice-to-have Experience building detection and response systems, SIEM/SOAR integrations, or security operations tooling Experience with API design Stay up to date with new and evolving AI security threats and mechanisms for defending against those threats Experience with dual-cloud or hybrid environments, advanced security tooling (SAST/DAST, Vault/KMS), and modern observability stacks (Grafana, Prometheus, OpenTelemetry) Experience building YAML/configuration management at scale What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team Flexible work/life balance options Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Access to a variety of job opportunities across business #LI-POST #TechPJ Job Skills AI for Cybersecurity, API Integration, Collaboration, Decision Making, DevOps, DevOps Engineering, End-to-End Testing, Information Technology Security, IT Systems Integration, Python (Programming Language), Secure Deployment, Security Controls, Security Solutions, Site Reliability Engineering, Software Development Additional Job Details Address: 16 YORK ST:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-04-07 Application Deadline: 2026-07-06 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.