Job DescriptionDirector of Engineering, AI SolutionsWhat's the opportunity?We’re looking for a Director of Engineering to lead and scale a high-performing engineering team within our research and development organization—setting the hands-on technical vision, standards, and roadmap that translate cutting-edge AI research into production-grade solutions deployed at enterprise scale.You will build, lead, and scale a high-performing engineering organization with a culture of excellence, accountability, and continuous learning. As the engineering leader, you will champion best practices aligned with RBC’s enterprise ecosystem while driving the adoption of state-of-the-art AI engineering practices.Your responsibilities include:Engineering Leadership & StrategyDefine and execute the technical vision and multi-year roadmap for the engineering functionEstablish engineering standards, design patterns, and best practices that comply with RBC’s enterprise ecosystem and governance requirementsDrive the integration of state-of-the-art AI engineering practices, including modern MLOps, infrastructure-as-code, and automated testing frameworksEvaluate and adopt emerging technologies that enhance team productivity and solution qualityRepresent engineering in strategic planning discussions with research and business leadershipTeam Leadership & DevelopmentLead and scale a team of 10-15 ML software engineers organized across deployment and data teamsRecruit, mentor, and develop engineers into next-generation technical leadersBuild a culture of high performance, high standards, accountability, and continuous improvementEstablish clear career progression paths and growth opportunities for engineering staffFoster knowledge sharing, technical excellence, and engineering craftsmanship across teamsConduct performance management and provide regular coaching and feedbackTechnical Delivery & OperationsOversee end-to-end delivery of AI solutions from data pipeline development through production deploymentEnsure reliable, scalable, and maintainable AI systems on RBC’s hybrid cloud/on-premise infrastructureDrive operational excellence in monitoring, alerting, model retraining, and system reliabilityEstablish and track engineering metrics for delivery velocity, system reliability, and technical debtManage technical dependencies and coordinate delivery across deployment and data teamsSupport the annual delivery of 5-6 production AI solutions with consistent quality and reliabilityCollaboration & Stakeholder ManagementPartner closely with research leadership to translate research innovations into production-ready systemsCollaborate with enterprise architecture, platform, and infrastructure teams to ensure alignment with RBC’s technology standardsEngage with business stakeholders across Retail Credit, Commercial Credit, and Fraud to understand requirements and communicate technical capabilitiesWork with risk, compliance, and security teams to ensure solutions meet regulatory and governance requirementsYou're our ideal candidate if you have:10+ years of progressive software engineering experience with 5+ years leading and scaling engineering teamsDeep expertise in ML systems, MLOps practices, data pipeline architecture, and production AI deploymentProven experience with hybrid cloud/on-premise infrastructure and enterprise-scale deployment patternsDemonstrated track record of building high-performing engineering organizations with strong cultures and high standardsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical fieldPreferred QualificationsExperience in large enterprise environments with complex technology ecosystems and governance requirements5+ years focused on ML/AI engineering5+ years of experience leading and scaling engineering teams of 10 or more engineersWhat's in it for you?High-Impact Leadership Role — Opportunity to lead engineering for a strategic AI R&D organization within one of Canada’s largest financial institutionsResearch-to-Production Innovation — Work at the intersection of cutting-edge AI research and enterprise-scale production systemsShape RBC’s AI Future — Directly influence the AI capabilities that drive business outcomes across credit and fraud domainsCollaborative Environment — Partner with research scientists, business leaders, and enterprise technology teamsProfessional Growth — Opportunity to build and scale a world-class engineering organizationAbout RBC Borealis:RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.Inclusion and Equal Opportunity Employment:RBC 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.#TECHPJ#Ll-POSTJob Skills Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product DesignAdditional Job DetailsAddress: 401 GEORGIA ST W:VANCOUVERCity: VancouverCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: TECHNOLOGY AND OPERATIONSJob Type: RegularPay Type: SalariedPosted Date: 2026-03-13Application Deadline: 2026-03-31Note: 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.Join our Talent CommunityStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at .RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
