What is the opportunity? As an Staff AI Security Developer (Global Security), you will design, build, and integrate security infrastructure protecting RBC's rapidly growing AI ecosystem — spanning hundreds of AI agents, MCP servers, LLM gateways, and agentic workflows across the bank.

As an Staff AI Security Developer (Global Security), you will design, build, and integrate security infrastructure protecting RBC's rapidly growing AI ecosystem — spanning hundreds of AI agents, MCP servers, LLM gateways, and agentic workflows across the bank. You will deliver production-grade capabilities in AI Security Posture Management (AI SPM), Shadow AI Discovery, and AI Security Guardrails — providing comprehensive visibility into the enterprise AI footprint and enforcing security controls across the AI lifecycle.

This hands‑on engineering role focuses on building the security foundation through robust backend services: embedding security into CI/CD pipelines, developing APIs and integrations with AI platform gateways, and connecting security tooling to the broader Cyber ecosystem. You will ship production code, own service reliability on Kubernetes, partner with AI platform and DevOps teams, and directly shape how the bank secures its rapidly growing AI footprint — accelerating regulatory readiness and setting recent standards for AI security at scale.

What will you do?

Own the availability, reliability, and performance of security services running on Kubernetes

Design and build AI security products including AI Security Guardrails, AI SPM, and Shadow AI Discovery

Build and maintain APIs, connectors, and data pipelines that integrate with enterprise gateways and Cyber ecosystem

Integrate AI security tools into CI/CD deployment pipelines with automated security benchmarks and testing frameworks

Build strong partnerships with AI platform teams, DevOps, IAM, and Security Architecture

What do you need to succeed? Must-have

Bachelor's degree (or equivalent)



in Computer Science, Software Engineering, Cybersecurity, or a related field

6+ years of backend software engineering experience with strong, production-level coding proficiency in Python

Experience building containerized services using Kubernetes or OpenShift

Experience designing and building REST APIs, data connectors, and integration pipelines

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

Nice-to-have

Experience with LLM orchestration frameworks (LangChain, LangGraph) and AI observability tooling (Langfuse, LangSmith) or similar agentic AI development stacks

Experience with security scanning and SAST/DAST tools (Semgrep, Snyk, SonarQube), Vault/KMS, or AI security evaluation tools

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 and modern observability stacks (Grafana, Prometheus, OpenTelemetry)

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

Adaptable 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

#TechPJ

Job Skills Agentic AI, AI for Cybersecurity, AI Observability, API Integration, Application Security, Collaboration, Cybersecurity, Decision Making, DevOps, DevOps Engineering, IT Systems Integration, Python (Programming Language), Secure Deployment, Security Controls, Security Solutions, 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 2026-09-15

Application Deadline 2026-11-06

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.

📌 Staff AI Security Developer (Toronto)
🏢 RBC
📍 Toronto