Director software engineering • toronto on
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 h...Show more
It is the mission and intent of this position that the incumbent will take full responsibility in the maintenance, repairs and safe operation of all technical services in accordance with Mandarin O...Show more
The Director of Quality Engineering (QE) will lead the end-to-end delivery of a large-scale Quality Engineering program, overseeing + resources across multiple workstreams and enterprise applicatio...Show more
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Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Lead the Quality Engineering team globally, managing the relation between Commercial & Business...Show more
The Director, Engineering Operations & Quality Engineering is a senior leadership role within Group Functions Technology (GFT) responsible for driving quality assurance, engineering operations, and...Show more
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Hybrid (3 days in office, 2 days remote with flexible hours).Downtown Toronto (outside Union Station – TTC & GO accessible).Founded in 1993, Kinross is a Canadian-based senior gold mining company w...Show more
Centah is a scaling Software as a Service (SaaS) company that is a part of Financeit.We help home improvement businesses manage lead intake, routing, and conversion through a configurable platform ...Show more
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Intuition Machines uses AI/ML to build enterprise security products.We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world.You are prob...Show more
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Globe 24-7 is partnering with a mining client in the Greater Toronto Area to hire an experienced Engineering Manager.The Engineering Manager is responsible for leading and integrating all engineeri...Show more
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 h...Show more
We are seeking a software engineering leader - Director or an experienced Sr.Manager ready to grow into this role, to join our Canada team.This is a high-impact opportunity to help shape the techni...Show more
Pay at Intact is about much more than just salary.Multiple benefits offered to support.Wellness account and much more.Share plan & other savings: up to.Employee Share Purchase Plan (ESPP) – with In...Show more
Who We Are SuiteSpot is a PropTech company transforming how residential real estate is managed and operated at scale.Our award-winning Maintenance and Capital SaaS solutions serve the top 50 multif...Show more
Job Description
Director 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 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
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
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
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
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