Full-Time Manager of Engineering

Director of Engineering, AI Solutions

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.

Engineering Leadership & Strategy
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

Technical Delivery & Operations
Oversee end-to-end delivery of AI solutions from data pipeline development through production deployment
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

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

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

5+ years focused on ML/AI engineering
~5+ years of experience leading and scaling engineering teams of 10 or more engineers

High-Impact Leadership Role — Opportunity to lead engineering for a strategic AI R&D organization within one of Canada’s largest financial institutions
Shape RBC’s AI Future — Directly influence the AI capabilities that drive business outcomes across credit and fraud domains
Professional Growth — Opportunity to build and scale a world-class engineering organization

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 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.

#Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design

Full time Platform:
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.