Job DescriptionWhat is the opportunity?This is an opportunity to contribute to building the reviewer experience for AI governance at enterprise scale. As Staff Engineer for AI Governance UI & Reviewer Experience, you’ll help build the governance platform’s frontend - a Next.Js/React 19 microservice that sits in front of backend governance services and makes complex AI governance decisions understandable and actionable for human reviewers.You’ll contribute to building the UI that enables reviewers to make defensible governance decisions: presenting evidence clearly, surfacing risk classifications, routing escalations, and tracking remediation. You’ll also help build automation that streamlines governance workflows, working alongside senior engineers to create seamless integrations with enterprise risk systems.This is a hands-on Staff Engineer role where you’ll implement production-grade React applications that serve as the human interface to RBC’s AI governance plane. You’ll work under the guidance of Principal Engineers to implement the technical vision for the governance UI and follow established standards and patterns.You’ll work on genuinely hard UX problems: how do you present assessment questions and LLM generated responses (and corresponding evals) so reviewers trust them? How do you implement escalation workflows that get the right decisions to the right authority? How do you make audit evidence legible to humans while maintaining traceability ?What will you do?You will contribute to building the governance UI microservice:Frontend Development (Hands-On)Implement features for the governance platform UI using Next.Js 14+ / React 19Build components using the App Router architecture with server components and streamingDevelop reviewer workflows using Type Script, Tan Stack Query, and modern React patternsImplement BFF (Backend-for-Frontend) patterns to integrate with governance APIsBuild components following established architecture, state management, and data fetching patternsWrite and maintain Playwright + Jest test suites for UI reliabilityImplement frontend features with proper error boundaries, loading states, and accessibilityRisk Workflow Development & AutomationCollaborate with risk specialists and senior engineers to understand governance processes and implement technical solutionsBuild automation features and intelligent agents to generate risk assessment artifacts (risk statements, control mappings, evidence packages, compliance reports)Implement integrations with risk book of records (Archer/Maverick) to push governance artifactsImplement browser automation using tools like Playwright for platforms without API connectionsContribute to building the audit artifact repository within the governance platformImplement integrations between the governance platform and risk book of records following established patternsContribute to integrating individual risk domain workflows into the overall governance layerReviewer Experience & Workflow ImplementationBuild reviewer workflows that enable humans to make good governance decisions quicklyImplement interfaces that present eval evidence, risk classifications,



and decision options clearlyBuild escalation screens that route high-consequence decisions to the right authorityImplement remediation tracking interfaces that make governance outcomes visible and actionableBuild evidence presentation layers that reduce cognitive load while maintaining completenessContribute to building dashboards for monitoring governance operations, decision patterns, and system healthImplement configuration UIs for governance policy, thresholds, and control registry managementAPI Integration & Backend ConnectivityIntegrate with backend governance services: decision engine, eval platform, evidence store, telemetry systemsConsume APIs from agent platforms, control plane/gateway, and risk registries (Archer/Maverick)Implement event-driven updates and real-time data flows using modern React patternsBuild error handling and fallback experiences when backend services are unavailableImplement caching strategies and optimistic updates for responsive user experienceQuality & ObservabilityWrite Playwright end-to-end tests and Jest unit testsImplement frontend observability: error tracking, performance monitoring, user analyticsBuild accessible interfaces that meet WCAG standards for enterprise complianceUse established design systems and component libraries for governance UI consistencyWhat do you need to succeed?Must Have:5+ years of software development experience with strong frontend engineering expertise and hands-on coding abilityProficiency in React, Next.Js (App Router), and Type ScriptProduction experience with Tan Stack Query (or React Query) and modern React state managementExperience implementing BFF (Backend-for-Frontend) patterns and API integrationExperience with Playwright and Jest for frontend testingAbility to build user workflows for decision-making environmentsExperience building features that integrate with enterprise systemsAbility to collaborate with stakeholders to understand requirements and implement technical solutionsFamiliarity with automation tools (e.G., Playwright) for systems integrationExperience implementing frontend applications based on governance, compliance, or operational requirementsBachelor’s degree in Computer Science, Software Engineering, or related technical fieldNice-to-haveExperience building governance, compliance, risk management, or model monitoring interfacesFamiliarity with Archer, Maverick, or similar GRC platformsKnowledge of audit and compliance artifact management in regulated environmentsExperience building automation or agent-based workflows for document generationUnderstanding of risk book of records concepts and governance artifact lifecycle managementKnowledge of AI/ML systems and familiarity with model evaluation, risk classification, or governance workflowsUnderstanding of regulatory frameworks (NIST AI RMF, OSFI, CIRO)Experience with component libraries (Radix,



shadcn/ui, MUI) and design systemsFamiliarity with frontend observability tools (Sentry, Datadog RUM, Log Rocket)Knowledge of accessibility standards (WCAG) and experience building WCAG-compliant UIsFamiliarity with data visualization libraries (D3.Js, Recharts, Plotly)Understanding of human factors engineering and decision support system designFamiliarity with RBC’s technology landscape including Lumina platform, Assist Pro, Agent Control Plane, or LLM GatewayExperience working in regulated industries (financial services, healthcare, or government)Advanced degree in Computer Science or related disciplineWhat’s in it for you?A comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, and stock where applicableLeaders who support your development through coaching and managing opportunities to build expertise in AI governance operationsAbility to make a lasting impact by designing the operational workflows that make AI governance decisions effective, efficient, and defensibleWork in a energetic, collaborative, high-performing team at the forefront of AI governance and risk management in financial servicesFlexible work/life balance options that support your professional and personal prioritiesOpportunities to take on challenging, strategic operational work that bridges governance policy, technical evaluation, and human decision-makingAccess to cutting-edge governance systems and opportunities for continuous learning in emerging AI risk management practices#LI-POST#Tech PJJob SkillsAuditing, Audits Compliance, Business Analytics, Compliance Reviews, Continuous Improvement, Decision Making, Design, Financial Risk Management (FRM), Information Security Management, Occupational Safety and Health, Operational Delivery, Operational Leadership, Operations Management, Performance Metrics, Process Compliance, Process Improvements, Quality Management, Remediation, Results-Oriented, Risk Assessments, Risk Management, Security Management, Service Level Agreement (SLA), Strategic Thinking, Training ProgramsAdditional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W: TORONTOCity:TorontoCountry:CanadaWork hours/week:37.5Employment Type:Full timePlatform:TECHNOLOGY AND OPERATIONSJob Type:RegularPay Type:SalariedPosted Date:Application Deadline:Note ** : ** Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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.#J-18808-Ljbffr

📌 Staff Al Engineer, Ai Governance Platform (Toronto)
🏢 RBC
📍 Toronto