Job DescriptionWhat is the opportunity? At RBC Borealis, you'll lead the delivery of AI and ML solutions within a fast-paced, collaborative environment, working closely with engineering, product management, ML researchers, cloud teams, and advisory groups. In this role, you'll drive cross-functional execution, align stakeholders, and ensure successful delivery of initiatives that create measurable value for RBC clients.
The Lumina AI/ML team is leading the development of a next-generation platform that enables teams across RBC to build innovative solutions. Our mission is to empower customers to create transformative AI and ML capabilities using data securely housed in our compliant data platform, unlocking new and differentiated experiences for their customers while accelerating RBC's AI-driven digital transformation.
The ML Delivery Engineer is responsible for driving the end-to-end delivery of machine learning initiatives, ensuring alignment between engineering teams, stakeholders, and organizational priorities. This is a unique opportunity to grow in the world of machine learning platform and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.
What will you do? Delivery & Project Management- Organize and lead cross-functional AWS/Azure ML delivery teams
- Define and communicate feature roadmaps and execution plans
- Translate business requirements into actionable engineering deliverables
Cloud & Platform Integration- Coordinate with Cloud team on infrastructure alignment
- Organize service enablement execution across Cloud Governance, Security, Engineering, and Product teams
- Lead cloud onboarding processes for new changes and deployments
- Resolve chargeback issues and manage cross-team coordination
Agile Leadership- Lead sprint planning, reviews, and retrospectives
- Manage JIRA epics, stories, sprints, and delivery metrics
- Coordinate and facilitate sprint demos to showcase team progress
Governance & Compliance- Ensure adherence to compliance and regulatory requirements
- Manage PAM and application attestations
- Lead disaster recovery planning and test execution
Operational Excellence- Oversee application maintenance and infrastructure chargeback operations
- Manage monitoring operations and ensure system reliability
- Develop and maintain operational documentation for L1/L2 SRE support teams
- Build and maintain dashboards for information availability and reporting
Architecture & Documentation- Maintain architecture documentation and technical content
- Ensure knowledge transfer and documentation standards across teams
What do you need to succeed?Must Have:Experience & Background- 7+ years of experience in delivery management and technical program management
- Proven experience leading cross-functional engineering or ML delivery teams
- Strong background in Agile/Scrum methodologies with hands-on sprint planning and execution
- Experience with JIRA for epic/story management, sprint tracking, and delivery metrics
Technical Knowledge- Working knowledge of cloud platforms (AWS and/or Azure)
- Understanding of ML/AI workflows and engineering delivery lifecycles
- Familiarity with infrastructure concepts, monitoring, and operational support models
Skills & Competencies- Excellent communication and stakeholder management skills
- Ability to translate business requirements into actionable technical deliverables
- Strong organizational skills with the ability to manage multiple priorities
- Experience with compliance and governance frameworks in a regulated environment
Nice-to-Have- Hands-on experience with ML platforms (Databricks, SageMaker, Azure ML)
- Experience building dashboards and reporting solutions (e.g., Grafana, Power BI)
- Experience with infrastructure chargeback and cost management
- AWS or Azure cloud certifications
- Background in SRE or platform engineering support models
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
#LI-Post
#TechPJ
Job SkillsAmazon Web Services (AWS), Business Case Design, Critical Thinking, Knowledge Organization, Machine Learning (ML), Microsoft Azure, Product Development Lifecycle, Product Development Methodology, Product Manufacturing, Product Services, Product Testing, Results-Oriented, 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:2026-06-03
Application Deadline:2026-06-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
