Director 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.

Responsibilities 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

Team Leadership & Development

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

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

Collaboration & Stakeholder Management

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

Qualifications

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

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

What'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 institutions

Research‑to‑Production Innovation

— Work at the intersection of cutting‑edge AI research and enterprise‑scale production systems

Shape RBC’s 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 world‑class engineering organization

About 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.

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