Director of Engineering

RBC • Vancouver, BC

16d • Hybrid

About The Position

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.

Requirements

• 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/on-premise infrastructure and enterprise-scale deployment patterns
• Demonstrated track record of building high-performing engineering organizations with strong cultures and high standards
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field

Nice To Haves

• 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

Responsibilities

• Define and execute the technical vision and multi-year roadmap for the engineering function
• Establish engineering standards, design patterns, and best practices that comply with RBC’s enterprise ecosystem and governance requirements
• Drive the integration of state-of-the-art AI engineering practices, including modern MLOps, infrastructure-as-code, 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
• Lead and scale a team of 10-15 ML software engineers organized across deployment and data teams
• Recruit, mentor, and develop engineers into next-generation 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
• Oversee end-to-end delivery of AI solutions from data pipeline development through production deployment
• Ensure reliable, scalable, and maintainable AI systems on RBC’s hybrid cloud/on-premise 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 5-6 production AI solutions with consistent quality and reliability
• Partner closely with research leadership to translate research innovations into production-ready systems
• Collaborate with enterprise architecture, platform, and infrastructure teams to ensure alignment with RBC’s 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

Benefits

• Opportunity to lead engineering for a strategic AI R&D organization within one of Canada’s largest financial institutions
• Work at the intersection of cutting-edge AI research and enterprise-scale production systems
• Directly influence the AI capabilities that drive business outcomes across credit and fraud domains
• Partner with research scientists, business leaders, and enterprise technology teams
• Opportunity to build and scale a world-class engineering organization

What This Job Offers

• Job Type: Full-time
• Career Level: Director