About the role
Job Description
What is the opportunity?
As a Staff Data/ML Engineer in RBC Borealis Lumina Enablement and Deployment Services (LEADS) organization, you will shape and deliver innovative data and AI solutions on the Lumina platform. In this role, you will partner closely with various PB & CB business and technology teams to design scalable data products, optimize ML workflows, and drive impactful insights. You’ll play a key role in advancing enterprise adoption of Lumina by enabling self-service data and accelerating AI use cases. This is an opportunity to influence strategy while building cutting-edge solutions at scale.
What will you do?
- Design and implement scalable data and AI solutions on the Lumina platform
- Architect and optimize data pipelines and ML workflows to ensure reliability, performance, and cost efficiency
- Develop and curate domain-specific data assets that power advanced analytics and AI use cases across PB & CB
- Implement and operationalize agentic AI workflows to automate decision-making, insights generation, and business process
- Enable self-service data and ML capabilities by building reusable frameworks, tools, and APIs
- Ensure data governance, quality, and security compliance within all solutions delivered
- Drive continuous improvement and innovation by evaluating emerging data and AI technologies for enterprise adoption
What do you need to succeed?
Must have:
- Bachelor’s degree in software engineering, computer science, or a related field
- 5+ years of experience in data/ML engineering or software development roles
- Strong programming skills in Python, Java, or Scala, with expertise in design patterns, testing, and code quality best practices
- Expertise in data engineering with advanced SQL and distributed data processing frameworks (i.e. Spark)
- Ability to design and optimize large-scale, cloud-native data pipelines on platforms such as OCP, AWS, or Azure
- Experience developing production-grade APIs, services, and reusable frameworks that integrate with enterprise platforms
- Excellent communication and collaboration skills, with the ability to partner effectively with business and technology stakeholders
Nice-to-have:
- Hands-on experience with ML engineering including model training, deployment, monitoring, and lifecycle management at scale
- Knowledge of LLMs and agentic AI workflows
- Proficiency with modern cloud data warehouses and databases (i.e. Snowflake) and experience with schema design, performance tuning, and query optimization
- Proficiency with modern DevOps/MLOps practices
About Borealis AI:
Borealis AI, an RBC Institute for Research, is a curiosity-driven research center dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centers in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, Large Language Models, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.
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.
#LI-Post
#TechPJ
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
Address:
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:
2025-10-06
Application Deadline:
2025-10-31
Note**:** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I****nclusion and Equal Opportunity Employment
At 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
About the role
Job Description
What is the opportunity?
As a Staff Data/ML Engineer in RBC Borealis Lumina Enablement and Deployment Services (LEADS) organization, you will shape and deliver innovative data and AI solutions on the Lumina platform. In this role, you will partner closely with various PB & CB business and technology teams to design scalable data products, optimize ML workflows, and drive impactful insights. You’ll play a key role in advancing enterprise adoption of Lumina by enabling self-service data and accelerating AI use cases. This is an opportunity to influence strategy while building cutting-edge solutions at scale.
What will you do?
- Design and implement scalable data and AI solutions on the Lumina platform
- Architect and optimize data pipelines and ML workflows to ensure reliability, performance, and cost efficiency
- Develop and curate domain-specific data assets that power advanced analytics and AI use cases across PB & CB
- Implement and operationalize agentic AI workflows to automate decision-making, insights generation, and business process
- Enable self-service data and ML capabilities by building reusable frameworks, tools, and APIs
- Ensure data governance, quality, and security compliance within all solutions delivered
- Drive continuous improvement and innovation by evaluating emerging data and AI technologies for enterprise adoption
What do you need to succeed?
Must have:
- Bachelor’s degree in software engineering, computer science, or a related field
- 5+ years of experience in data/ML engineering or software development roles
- Strong programming skills in Python, Java, or Scala, with expertise in design patterns, testing, and code quality best practices
- Expertise in data engineering with advanced SQL and distributed data processing frameworks (i.e. Spark)
- Ability to design and optimize large-scale, cloud-native data pipelines on platforms such as OCP, AWS, or Azure
- Experience developing production-grade APIs, services, and reusable frameworks that integrate with enterprise platforms
- Excellent communication and collaboration skills, with the ability to partner effectively with business and technology stakeholders
Nice-to-have:
- Hands-on experience with ML engineering including model training, deployment, monitoring, and lifecycle management at scale
- Knowledge of LLMs and agentic AI workflows
- Proficiency with modern cloud data warehouses and databases (i.e. Snowflake) and experience with schema design, performance tuning, and query optimization
- Proficiency with modern DevOps/MLOps practices
About Borealis AI:
Borealis AI, an RBC Institute for Research, is a curiosity-driven research center dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centers in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, Large Language Models, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.
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.
#LI-Post
#TechPJ
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
Address:
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:
2025-10-06
Application Deadline:
2025-10-31
Note**:** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I****nclusion and Equal Opportunity Employment
At 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.