Role Overview
Royal Bank of Canada is hiring a Lead AI Engineer. This is a full-time role in Toronto, Ontario. Part of Royal Bank of Canada's Wealth Management hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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. We are looking to hire a talented Data & AI Engineer to build cutting edge AI and data solutions. The role will be responsible for building and managing AI platforms and data pipelines for global operations.
What will you do?
- You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing technical documentations.
- Build data products using structured and unstructured data to deliver AI solutions. Ensure data quality, performance, scalability.
- Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production.
- Partner with enterprise architect to create data and AI technology architectures. Provide Gen AI subject matter expertise in technical system design, development, and implementation of AI applications.
- Contribute to production efforts via data pipelines, reusable frameworks, distributed computing, and documentations.
What do you need to succeed?
Must have:
- Degree in Computer Science or Software Engineering related technical field
- 7+ years of experience in development, designing and developing robust scalable REST API, microservices, and data pipelines in production
- Advanced SQL knowledge and data engineering experience working with relational databases
- High proficiency using Python for data and AI engineering, experience building end to end ML pipelines include data ingestion, data transformation, feature engineering, model inference and deployment in production
- Expertise in Generative AI and Machine Learning service integrations. Familiar with Gen AI tech stack (LLMs, Agents, MCP Servers)
Nice-to-have:
- Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming
- Experience in building data products for analytics visualizations
- Experience using AWS Sagemaker, S3, Snowflake, Databrick, Airflow, Hadoop, PySpark
- Familiar with Dev Ops and Microservices tools such as Git, Jenkins, Vault, Node.JS, Flask, Django, Kafka
- Past experiences with at least one of the Object-Oriented development languages such as: C++, C# .NET, or Java
- Familiar with JIRA, Confluence, Agile/Scrum development methodology
- Ability to read and write in the French language is a plus
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 Skills
Agile Methodology, AI Prompting, Cloud Computing, Database Development, Data Pipelines, Data Warehousing (DW), Feature Engineering, Generative AI, Machine Learning (ML), Python (Programming Language), Quality Management, Snowflake (Platform), Structured Query Language (SQL), Tableau (Software)
Additional Job Details
Address:
180 WELLINGTON ST W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
WEALTH MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-03-13
Application Deadline:
2026-03-28
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.
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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.
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.
Frequently Asked Questions
How do I apply for the Lead AI Engineer position at Royal Bank of Canada?
Use the Apply button above to submit your application directly to Royal Bank of Canada. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Lead AI Engineer position at Royal Bank of Canada located?
This position is based in Toronto, Ontario. Royal Bank of Canada has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Lead AI Engineer at Royal Bank of Canada earn?
Royal Bank of Canada has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Lead AI Engineer role at Royal Bank of Canada posted?
This role was posted on March 16, 2026 (84 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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