Applied AI Data Engineer
Top Benefits
About the role
Job Description
What is the opportunity?
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses.
Complementing our existing Data & AI roadmap, we’re building an applied AI lab, with a mandate to explore breakthrough AI methods and turn them into testable prototypes and capabilities to support our 6,000 wealth management professionals globally.
We are looking to hire an awesome Applied AI Data Engineer to help us bridge data engineering and ML operations. You’ll be the critical enabler for our Applied AI team, helping build out a robust and agile data infrastructure and MLOps pipelines for us to explore and build prototypes that will elevate both the client experience and advisor productivity—reshaping the competitive landscape of wealth advisory services globally.
What will you do?
- Build and maintain data pipelines that provide our AI with clean, structured and unstructured data at scale
- Collaborate with Applied AI Scientists to understand their data needs, convert them to engineering solutions, and unblock innovation workflows
- Ensure data governance, security, compliance standards are met across all innovation activities
- Implement monitoring, logging, and observability for AI models to ensure reliability and performance
- Contribute to a growing culture of innovation by evaluating and learning about emerging data and AI engineering technologies and approaches
What do you need to succeed?
Must Have:
- Passion for solving open problems in real-world contexts using data, and learning and sharing about new approaches and developments in AI
- Bachelor’s degree in computer science, software/data engineering, or a related technical field
- 4–8 years of experience in data/MLOps engineering or related roles, including a combination of graduate training, academia, public sector, and/or industry experience
- Strong programming skills Python and expertise developing APIs, services, and reusable frameworks that integrate with enterprise platforms (e.g., AWS, Azure, Snowflake)
- Strong communication and collaboration skills to work effectively with AI scientists, technology teams, and business stakeholders
Nice to Have:
- Collaborative innovation experience in cross-functional teams
- Experience with data engineering best practices (e.g., schema management, data quality, data governance) and modern MLOps practices and tools.
- Knowledge of financial services or wealth management
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
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.
Applied AI Data Engineer
Top Benefits
About the role
Job Description
What is the opportunity?
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses.
Complementing our existing Data & AI roadmap, we’re building an applied AI lab, with a mandate to explore breakthrough AI methods and turn them into testable prototypes and capabilities to support our 6,000 wealth management professionals globally.
We are looking to hire an awesome Applied AI Data Engineer to help us bridge data engineering and ML operations. You’ll be the critical enabler for our Applied AI team, helping build out a robust and agile data infrastructure and MLOps pipelines for us to explore and build prototypes that will elevate both the client experience and advisor productivity—reshaping the competitive landscape of wealth advisory services globally.
What will you do?
- Build and maintain data pipelines that provide our AI with clean, structured and unstructured data at scale
- Collaborate with Applied AI Scientists to understand their data needs, convert them to engineering solutions, and unblock innovation workflows
- Ensure data governance, security, compliance standards are met across all innovation activities
- Implement monitoring, logging, and observability for AI models to ensure reliability and performance
- Contribute to a growing culture of innovation by evaluating and learning about emerging data and AI engineering technologies and approaches
What do you need to succeed?
Must Have:
- Passion for solving open problems in real-world contexts using data, and learning and sharing about new approaches and developments in AI
- Bachelor’s degree in computer science, software/data engineering, or a related technical field
- 4–8 years of experience in data/MLOps engineering or related roles, including a combination of graduate training, academia, public sector, and/or industry experience
- Strong programming skills Python and expertise developing APIs, services, and reusable frameworks that integrate with enterprise platforms (e.g., AWS, Azure, Snowflake)
- Strong communication and collaboration skills to work effectively with AI scientists, technology teams, and business stakeholders
Nice to Have:
- Collaborative innovation experience in cross-functional teams
- Experience with data engineering best practices (e.g., schema management, data quality, data governance) and modern MLOps practices and tools.
- Knowledge of financial services or wealth management
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
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.