Generative BI Engineer

RBC; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Senior Data Engineer to enhance their Business Intelligence services with a focus on generative AI. Responsibilities include designing and building systems to execute tasks autonomously, collaborating with architects, and defining metrics for solutions. Candidates should have a BS in Computer Science, strong Python and SQL skills, and experience with ML/GenAI solutions. This role offers competitive compensation and opportunities for professional growth.

Benefits

Competitive compensation

Bonuses and flexible benefits

Supportive leadership for development

Qualifications

• 1–2 years building and deploying ML/GenAI solutions in production.
• Hands-on experience building AI agents and integrating them into real applications.
• Familiar with GenAI stack: LLMs, agents, MCP servers.

Responsibilities

• Design, build, and productionize agentic GenAI systems.
• Define metrics and evaluation to ensure solutions meet business goals.
• Collaborate with architects and cross-functional teams.

Skills

Python

SQL

Problem-solving

Collaboration

Analytical

Education

BS in Computer Science/Software Engineering or related field

Tools

Teradata

S3

Snowflake

Airflow

Hadoop

PySpark

Git/GitHub/Jenkins

Node.js

Job description

Job Description

What's the opportunity?

We’re looking for a Senior Data Engineer to join our team who will help shape the future of our Business Intelligence (BI) services. This role will focus on generative BI – developing a net new Gen BI experience. This is a unique opportunity to grow in the world of Analytics & BI and work with a team of passionate individuals committed to the mission of building resilient platforms.

What you will do?

• Design, build, and productionize agentic GenAI systems (LLM agents) that autonomously execute tasks and integrate with users/systems.
• keep pace with GenAI technologies to improve the platform.
• Define metrics, monitoring, and evaluation to ensure solutions meet business goals and user needs.
• Develop frameworks and prompt strategies to optimize LLM outputs; implement end-to-end GenBI solution in production.
• Collaborate with architects and cross-functional teams to design data/AI architectures and integrate with existing pipelines.
• Build data pipelines and reusable components, document, and present work to technical and non-technical stakeholders.

What you need to succeed?

Must have:

• BS in Computer Science/Software Engineering or related field.
• 1–2 years building and deploying ML/GenAI solutions in production.
• High proficiency in Python; solid software engineering fundamentals.
• Advanced SQL and experience with relational databases.
• Hands-on experience building AI agents and integrating them into real applications.
• Familiar with GenAI stack: LLMs, agents, MCP servers; service integrations.
• Strong analytical, problem-solving, communication, and collaboration skills.

Nice to have:

• Data engineering best practices (schema, quality, governance), cloud, databases/warehousing, ETL and streaming.
• Experience with Teradata, S3, Snowflake, Airflow, Hadoop, PySpark.
• DevOps tooling: Git/GitHub/Jenkins, HashiCorp Vault; Node.js
• Tools/methodology: Jira, Confluence; Agile/Scrum.

What's in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

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.

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.

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: 2025-10-23

Application Deadline: 2025-12-31

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.