Staff AI Security Developer

RBC; Toronto; On-site; CAD 140,000 - 180,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock options where applicable

Job summary

RBC is seeking an Staff AI Security Developer (Global Security) to design, build, and integrate security infrastructure for RBC's AI ecosystem, including AI agents, MCP servers, and LLM gateways. You will ship production code, own Kubernetes service reliability, and collaborate with AI platform and DevOps teams to strengthen AI security at scale.

The role focuses on AI Security Posture Management, Shadow AI Discovery, and AI Security Guardrails, embedding security into CI/CD pipelines and

Qualifications

• Bachelor's degree or equivalent in CS/SE/Cybersecurity or related field.
• 6+ years backend software engineering experience with production-grade coding in Python.
• Experience building containerized services using Kubernetes or OpenShift.
• Experience designing REST APIs, data connectors, and integration pipelines.
• Experience defining infrastructure and application pipelines.
• Ability to deliver robust AI security solutions and communicate with stakeholders.

Responsibilities

• Own availability, reliability, and performance of security services 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 with enterprise gateways and Cyber ecosystem.
• Integrate AI security tools into CI/CD with automated security benchmarks and testing.
• Partner with AI platform teams, DevOps, IAM, and Security Architecture.

Skills

Agentic AI

AI Security

AI Observability

API Integration

Application Security

DevOps

Python

Kubernetes

Security Architecture

Decision Making

Education

Bachelor's degree in CS/SE/Cybersecurity

Tools

Kubernetes

OpenShift

CI/CD pipelines

Job description

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 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
• 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

#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.