Description
As a 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.
Responsibilities
- 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
Requirements
- 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)
Benefits
- 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