Delivery Lead, ML Engineering

RBC•Toronto, ON

1d•Onsite

About The Position

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. Our mission is to think big, go beyond what's possible today, and unlock the full potential for RBC - and you'll play a key role in making that happen. 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.

Requirements

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
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
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 Haves

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

Responsibilities

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
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
Lead sprint planning, reviews, and retrospectives
Manage JIRA epics, stories, sprints, and delivery metrics
Coordinate and facilitate sprint demos to showcase team progress
Ensure adherence to compliance and regulatory requirements
Manage PAM and application attestations
Lead disaster recovery planning and test execution
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
Maintain architecture documentation and technical content
Ensure knowledge transfer and documentation standards across teams

Benefits

bonuses
flexible benefits
competitive compensation
commissions
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