AI/ML Platform Engineer role

What's the opportunity?

We’re seeking an experienced AI/ML Platform Engineer to drive the reuse and delivery of our enterprise Data, MLOps/AIOps, and DevOps platform products and services. This role is critical for designing, building, and scaling infrastructure and automation tools that power our line-of-business (LOB) data and AI/ML applications.

You’ll join a collaborative team working with leading researchers and engineers, leveraging state-of-the-art technologies to deliver scalable, resilient solutions across both cloud and on-prem environments.

At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at rbcborealis.com.

Your responsibilities include:

• Championing the reuse of Data, MLOps/AIOps, and DevOps platform products, services, and patterns to accelerate solution delivery for business partners and LOB domain teams.

• Designing, building, and optimizing deployment tools and automation systems for business data and AI/ML applications.

• Establishing and implementing best practices and standards for data and machine learning pipelines across the organization.

• Collaborating with engineers and AI/ML researchers to automate code analysis, build, integration, and deployment of applications.

• Supporting projects with infrastructure design decisions and monitoring solutions.

• Delivering reusable platform products that enable rapid onboarding and consistent delivery for business teams.

• Applying adaptive productization processes to ensure solutions are robust, scalable, and meet evolving business needs.

• Practicing “fail fast” principles to quickly identify and address issues, enabling rapid iteration and continuous improvement.

• Using systems thinking to approach problem solving holistically, considering the broader organizational and technical context.

• Compartmentalizing complex needs and problem sets into manageable domains, driving solutions from a top-down perspective.

You're our ideal candidate if you have:

• Strong experience designing and implementing distributed systems and machine learning solutions.

• Experience building and maintaining DevOps pipelines such as Helios 2.0 and GitHub Actions.

• Previous experience with MLOps orchestration tools such as Airflow, Kubeflow, or Dagster.

• In-depth knowledge of all stages of the machine learning application deployment process.

• Experience building tools and applications to automate infrastructure and DevOps tasks.

• Proficiency in programming languages such as Python, Bash, or JavaScript.

• Experience implementing monitoring solutions to identify system bottlenecks and production issues.

• Knowledge of professional software engineering best practices for the full software development lifecycle, including testing methods, coding standards, code reviews, and source control management.

• Hands-on experience building and deploying hybrid environments on-premises and in major cloud platforms such as AWS and Azure.

• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, and/or similar.

• Demonstrated ability to apply systems thinking and top-down problem solving to deliver holistic, sustainable solutions.

Bonus skills:

• Experience with containerization and orchestration (Docker, OpenShift).

• Familiarity with REST, microservices, SaaS/PaaS architectures, and OpenAPI standards.

• Knowledge of AI/ML tools (Langchain, Deep Agents, RAG, OpenCV, Vector DBs, Embeddings).

• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB) and messaging systems (RabbitMQ).

• Strong collaboration skills and ability to work with cross-functional teams.

• Familiarity with Agile methodologies and tools (JIRA, Confluence, Postman).

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 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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Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTorontoCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2026-03-252026-04-17

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. 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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.