Job Title

Job Description Director of Engineering, AI Solutions What''''s the opportunity? Were looking for a The Director of Engineering to be a strategic leader responsible for bridging research innovation with production excellence. This is a handson technical leadership position accountable for setting the engineering vision, roadmap, standards, and architectural patterns for the organization. You will build, lead, and scale a highperforming engineering organization with a culture of excellence, accountability, and continuous learning. As the engineering leader, you will champion best practices aligned with RBCs enterprise ecosystem while driving the adoption of stateoftheart AI engineering practices. Your responsibilities include: Engineering Leadership & Strategy Define and execute the technical vision and multiyear roadmap for the engineering function Establish engineering standards, design patterns, and best practices that comply with RBCs enterprise ecosystem and governance requirements Drive the integration of stateoftheart AI engineering practices, including modern MLOps, infrastructureascode, and automated testing frameworks Evaluate and adopt emerging technologies that enhance team productivity and solution quality Represent engineering in strategic planning discussions with research and business leadership Team Leadership & Development Lead and scale a team of 1015 ML software engineers organized across deployment and data teams Recruit, mentor, and develop engineers into nextgeneration technical leaders Build a culture of high performance, high standards, accountability, and continuous improvement Establish clear career progression paths and growth opportunities for engineering staff Foster knowledge sharing, technical excellence, and engineering craftsmanship across teams Conduct performance management and provide regular coaching and feedback Technical Delivery & Operations Oversee endtoend delivery of AI solutions from data pipeline development through production deployment Ensure reliable, scalable, and maintainable AI systems on RBCs hybrid cloud/onpremise infrastructure Drive operational excellence in monitoring, alerting, model retraining, and system reliability Establish and track engineering metrics for delivery velocity, system reliability, and technical debt Manage technical dependencies and coordinate delivery across deployment and data teams Support the annual delivery of 56 production AI solutions with consistent quality and reliability Collaboration & Stakeholder Management Partner closely with research leadership to translate research innovations into productionready systems Collaborate with enterprise architecture, platform, and infrastructure teams to ensure alignment with RBCs technology standards Engage with business stakeholders across Retail Credit, Commercial Credit, and Fraud to understand requirements and communicate technical capabilities Work with risk, compliance, and security teams to ensure solutions meet regulatory and governance requirements You''''re our ideal candidate if you have: 10+ years of progressive software engineering experience with 5+ years leading and scaling engineering teams Deep expertise in ML systems, MLOps practices, data pipeline architecture, and production AI deployment Proven experience with hybrid cloud/onpremise infrastructure and enterprisescale deployment patterns Demonstrated track record of building highperforming engineering organizations with strong cultures and high standards Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical field Preferred Qualifications Experience in large enterprise environments with complex technology ecosystems and governance requirements 5+ years focused on ML/AI engineering 5+ years of experience leading and scaling engineering teams of 10 or more engineers Whats in it for you? HighImpact Leadership Role Opportunity to lead engineering for a strategic AI R&D organization within one of Canadas largest financial institutions ResearchtoProduction Innovation Work at the intersection of cuttingedge AI research and enterprisescale production systems Shape RBCs AI Future Directly influence the AI capabilities that drive business outcomes across credit and fraud domains Collaborative Environment Partner with research scientists, business leaders, and enterprise technology teams Professional Growth Opportunity to build and scale a worldclass engineering organization About RBC Borealis RBC Borealis is the driving force behind Royal Bank of Canadas AI and data innovation. As part of Canadas largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through worldclass research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, were at the forefront of AI research and platform development. With a focus on cuttingedge 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, datadriven 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 legallyprotected factors. Disabilityrelated accommodations during the application process are available upon request. 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. Join our Talent Community Stay intheknow 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 wellbeing of our clients and communities at jobs.rbc.com. 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. Job Skills Big Data Analytics Client Counseling Coaching Others Critical Thinking Decision Making Industry Knowledge Machine Learning (ML) ResultsOriented Software Engineering Software Product Design Additional Job Details Address: 401 GEORGIA ST W:VANCOUVER City: Vancouver Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-03-13 Application Deadline: 2026-03-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above #J-18808-Ljbffr