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.
Job Description 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 new 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 recent 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
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
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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.
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📌 Staff AI Security Developer (Winnipeg)
🏢 RBC
📍 Winnipeg