What’s the opportunity?AI Architecture Governance & Insights establishes enterprise-wide AI architecture standards, patterns, and governance frameworks for RBC. We create the standards and certification criteria that ensure AI solutions are built safely, securely, and in alignment with the enterprise strategy. We deliver insights into our AI capabilities and compliance, and we partner with security, enterprise architecture, and business teams to ensure AI is built responsibly and strategicallyJob DescriptionWhat’s the opportunity?AI Architecture Governance & Insights establishes enterprise-wide AI architecture standards, patterns, and governance frameworks for RBC. We create the standards and certification criteria that ensure AI solutions are built safely, securely, and in alignment with the enterprise strategy. We deliver insights into our AI capabilities and compliance, and we partner with security, enterprise architecture, and business teams to ensure AI is built responsibly and strategicallyAs a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind our architecture practice, creating governance artifacts, maintaining CALM/Agent Card standards, supporting the AI Architecture Review Board, and building automation to surface insights across our AI estate.You’ll work in a fast-paced environment where priorities shift rapidly based on leadership needs, platform evolution, and emerging governance challenges. This role requires both strategic thinking and hands‑on execution. You might pivot from defining reference architectures to building a MCP server to developing compliance dashboards within the same week.Your responsibilities include:Create and maintain AI governance artifacts: patterns, standards, reference architectures, and technical whitepapersManage CALM standard evolution and its alignment to AI platforms (Athena, Nova, Atlas)Define and evolve the AI Technical Reference Model, capability catalog, and license-to-build criteriaPlay a key role in the AI Architecture Review Board, including preparing materials, reviewing submissions, and contributing architectural opinionsRepresent AI Architecture perspectives at broader governance forums (Technology Infrastructure and Security review boards)Track Agent adherence to standards/patterns and report on compliance/non-complianceArchitecture Practice & InsightsPartner with engineering teams to review solution designs and provide architectural guidanceDeliver AI asset insights: catalog state, capability coverage, compliance metrics, and adoption trendsModernize the SafeAI process and integrate with AI platform governancePublish Architecture Decision Records (ADRs)



for cross-cutting decisionsCoordinate cross-pillar architecture decisions and continuously improve certification processesTooling & Automation ("As Code" Mindset)Build tools, Agents, and MCPs to automate architecture governance (e.G., CALM Visualizer, SafeAI tooling)Surface governance data through AI Architecture AgentsTranslate business and technical problems into implementable designs, then contribute hands‑on developmentFlexibility & PartnershipResearch emerging AI technologies and evaluate vendor solutionsPartner with EA, LOB governance groups, and GCS on security architecture alignmentDrive POCs for new AI capabilities and governance approachesWork directly with lines of business to understand needs and architect practical solutionsYou're our ideal candidate if you have:Technical DepthStrong grasp of AI technologies (LLMs, agents, RAG, agentic systems, AI infrastructure)Hands‑on coding ability. You must be comfortable building tools, automations, and prototypes yourselfExperience with infrastructure-as-code, API design, and modern development practicesArchitecture MindsetProven ability to design scalable, secure, maintainable systemsUnderstanding of platform patterns, reusability, and governance at scaleCan translate abstract requirements into concrete, implementable designsGovernance & StandardsExperience creating technical standards, patterns, or reference architecturesUnderstanding of compliance frameworks and how to operationalize governanceComfortable working with Architecture Review Boards or similar governance bodiesOperating ModelAdaptability: Thrive in quick-paced environments where priorities shift based on leadership asks and platform evolutionParallel execution: Comfortable context-switching between strategic work (standards development) and tactical delivery (tool building, ARB support)Partnership: Strong collaboration skills, you'll work across EA, Security, Engineering, and business teamsBias for action: Don't wait for perfect information; build, test, iteratePassion for AI GovernanceStay current with internal/external AI trends and innovationGenuine interest in making AI technology accessible, well-governed, and production-readyDesire to build the infrastructure that enables responsible AI adoption at enterprise scaleWhat’s in it for you?Be part of a dynamic & flexible working environmentBecome part of a team that thinks progressively and works collaboratively.



We care about seeing each other reach full potentialA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impact from a local-to-global scale.About the AI Group:RBC’s AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC’s people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.Inclusion and Equal Opportunity EmploymentRBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.Job SkillsActive Learning, Application Integrations, Detail-Oriented, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)Additional Job DetailsAddressRBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCityTorontoCountryCanadaWork hours/week37.5Employment TypeFull timePlatformTECHNOLOGY AND OPERATIONSJob TypeRegularPay TypeSalariedPosted Date Application Deadline NoteApplications 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

📌 Lead Data Scientist (Toronto)
🏢 RBC
📍 Toronto