AI Security Control Developer/Site Reliability Engineer (Global Security)

RBC; Toronto; On-site; CAD 120,000 - 190,000; Full time

Benefits offered by this job

Total Rewards Program

Stock options where applicable

Job summary

RBC is seeking an AI Security Control Developer/Site Reliability Engineer to design, operate, and validate security controls across its AI ecosystem. You will implement detective and preventative measures, build robust observability, and ensure 24/7 reliability of AI security boundaries.

You will work with AI platform teams, MLOps, DevOps, IAM, and Security Architecture to integrate controls and drive continuous improvement, with on-call rotation and a focus on safety and privacy-by-design.

Qualifications

• Bachelor's degree or equivalent in CS/SE/Cybersecurity or related field.
• 5+ years of software engineering or SRE experience with Python.
• Experience building containerized services with Kubernetes or OpenShift.
• Experience with OPA or policy-as-code frameworks.
• SRE practices including SLOs/SLIs, error budgets, observability, alerting, incident response, and on-call rotations.
• Experience defining and implementing pipelines for infrastructure and applications.
• Ability to deliver robust AI security solutions and communicate with stakeholders.
• Strong organizational and collaboration skills.

Responsibilities

• Design, develop, and maintain detective and preventative AI security controls, using gateway logs and telemetry.
• Apply SRE principles to AI security controls, including alerting architecture and runbooks.
• Build metrics dashboards and alerting for control health and detection accuracy.
• Develop automated testing pipelines for LLM Gateway controls using synthetic data and attack patterns.
• Collaborate with AI platform teams, MLOps, DevOps, IAM, and Security Architecture to integrate controls.

Skills

Python

SRE practices

Observability

Security engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

OpenShift

Open Policy Agent (OPA)

Grafana

Prometheus

OpenTelemetry

Job description

Job Description

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.

What is the opportunity?

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

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

2026-09-10

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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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.