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About the Role

We’re looking for a Staff Data/AI Engineer to join RBC Borealis to design and implement AI solutions across Personal Banking & Commercial Banking. You will build and scale advanced data and ML engineering pipelines, agentic AI systems, and Large Language Model (LLM) applications, ensuring solutions are secure and grounded in high-quality, trusted data. This role involves translating complex banking problems into deployable AI systems that are reliable, explainable, and compliant, working with a team committed to bringing advanced AI into the enterprise at scale.

Responsibilities

Build and maintain scalable batch and streaming data pipelines to ingest, transform, and curate high-quality datasets for AI and agentic workflows
Implement DataOps and MLOps automation, including CI/CD pipelines, data validation checks, ML model deployment, monitoring, and drift detection
Develop and integrate AI services such as LLM-powered APIs, retrieval-augmented generation (RAG) pipelines, and agent orchestration logic into secure, production-grade environments
Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloads
Write production-quality code, conduct code reviews, troubleshoot performance issues, and continuously improve system reliability, scalability, and observability

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
5+ years of experience in data, software, ML, or AI engineering
Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark) with strong software engineering fundamentals, including version control, testing, and code review best practices
Experience developing and integrating AI-powered systems such as LLM applications, RAG pipelines, or agent-based workflows into secure, production environments
Deep understanding of data modeling, distributed systems, storage optimization, and performance tuning for large-scale AI and analytics workloads
A solid understanding of the ML data lifecycle, including feature engineering, model integration, deployment support, and monitoring
Excellent collaboration and communication skills, with the ability to translate ambiguous business problems into well-structured technical designs, collaborating effectively with product, platform, and cross-functional engineering teams

Skills

Python
Java
SQL
Spark
Big Data Management
Cloud Computing
Database Development
Data Mining
Data Warehousing (DW)
ETL Processing
Group Problem Solving
Quality Management
Requirements Analysis

Location

Toronto, Canada

Work Type

Full time

Experience Level

5+ years of experience

Education Level

Bachelor’s degree in Computer Science, Software Engineering, or a related field

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options

About the Company

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation.
As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform.
With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development.
With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry.
We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Equal Opportunity

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.