Job DescriptionWhat's the opportunity?We are seeking a visionary and execution-focused Director of AI Engineering to lead the development and deployment of scalable AI and data-driven solutions. In this role, you will define the AI engineering strategy, build a high-performing team, and establish modern platforms and practices that accelerate innovation and business value. You will collaborate closely with business leaders, product teams, data organizations, and technology partners to operationalize AI capabilities that are secure, reliable, and measurable. This is an opportunity to shape the future of enterprise AI adoption while driving tangible outcomes through advanced analytics, machine learning, generative AI, and intelligent automation.
Your responsibilities include:- Define and lead the enterprise AI engineering strategy, roadmap, architecture standards, and delivery model aligned to business priorities.
- Build, mentor, and scale high-performing AI engineering and MLOps teams focused on delivering production-grade AI solutions.
- Establish scalable AI platforms, frameworks, and governance practices to support machine learning, generative AI, and data science workloads.
- Partner with cross-functional stakeholders to identify high-value AI use cases and drive end-to-end solution delivery from experimentation to production.
- Ensure operational excellence through robust AI lifecycle management, model monitoring, security, compliance, and responsible AI practices.
You're our ideal candidate if you have:- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 10+ years of experience in software engineering, data engineering, machine learning, or AI solution delivery, including leadership experience managing technical teams.
- Proven experience designing and deploying enterprise-scale AI/ML platforms and production AI applications in cloud environments.
- Strong understanding of AI engineering practices including MLOps, LLMOps, model deployment, observability, governance, and automation.
- Experience leading cross-functional initiatives that integrate AI capabilities into business processes, products, or customer experiences.
- Deep technical knowledge of modern AI ecosystems, including machine learning frameworks, generative AI technologies, APIs, vector databases, and cloud-native architectures.
- Exceptional communication and stakeholder management skills with the ability to influence executive leaders and translate complex technical concepts into business value.
- A passion for innovation, continuous learning, and building inclusive, collaborative, and high-performing engineering cultures.
What's in it for you?- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
- Leaders who support your development through coaching and managing opportunities;
- Ability to make a difference and lasting impact from a local-to-global scale.
About RBC BorealisRBC 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.
Job SkillsBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model
Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-05-25
Application Deadline:2026-06-12
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
