Job DescriptionWhat is the opportunity?We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML infrastructure, automation tools (MLOps and DevOps), and cloud-native AI solutions. This is a unique opportunity to lead and shape the future of machine learning infrastructure and work with a team of passionate individuals committed to bringing ML to the enterprise.
What will you do?- Leading the design, architecture, and optimization of machine learning deployment tools and automation systems that operate the business's data and ML applications
- Defining and implementing best practices and standards for data and machine learning pipelines across the organization
- Collaborating with engineers and machine learning researchers to automate code analysis, build, integration, and deployment of ML applications
- Providing technical guidance on infrastructure design decisions and monitoring solutions
- Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies, including Google Cloud Platform (GCP) and Vertex AI
- Mentoring junior engineers and contributing to team growth and technical excellence
What do you need to succeed?Must have:- Extensive experience designing and implementing distributed ML systems at scale
- Hands-on experience with GCP services, particularly Vertex AI for model training, deployment, and monitoring
- Experience building and integrating Generative AI solutions, including LLMs, RAG architectures, and AI harnesses/orchestration frameworks (e.g., LangChain, LlamaIndex)
- Proficiency with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, or Flyte
- Experience with DevOps pipelines (Jenkins, GitHub Actions)
- Strong programming skills in Python; familiarity with Bash or JavaScript a plus
- Hands-on experience deploying hybrid environments across GCP, AWS, and/or Azure
- Familiarity with ML frameworks such as PyTorch or TensorFlow
- Knowledge of software engineering best practices including testing, code reviews, and source control
What's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
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Job SkillsBig Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building
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:2026-06-16
Application Deadline:2026-06-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
