What's the opportunity?
We are seeking a Lead Data and AI Quality Engineering to join our Risk and Compliance team and take ownership of quality assurance for AI and Non-Financial Risk Reporting initiatives. This role combines strategic test planning with hands-on automation and manual testing expertise to ensure the delivery of robust, high-quality solutions that meet regulatory and compliance standards.

Job Description
We are seeking a Lead Data and AI Quality Engineering to join our Risk and Compliance team and take ownership of quality assurance for AI and Non-Financial Risk Reporting initiatives. This role combines strategic test planning with hands-on automation and manual testing expertise to ensure the delivery of robust, high-quality solutions that meet regulatory and compliance standards.

What will you do?
Ensures that products being built and processes being used adhere to all standards and requirements. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

Test Strategy & Planning

Design and implement comprehensive test strategies aligned with risk, compliance, and regulatory requirements

Define test scope, acceptance criteria, and quality gates for AI and risk reporting solutions

Collaborate with Risk and Compliance stakeholders to understand requirements and translate them into testable specifications

Identify quality risks and develop mitigation plans in alignment with compliance frameworks

Application Development & Testing

Design and code application programs for testing purposes, including test utilities and quality assurance tools

Perform comprehensive testing for developed applications, including functional, integration, and system-level testing

Validate system performance and reliability across Risk and Compliance workflows

Proven expertise building production server applications (APIs, microservices, backends)

AI Code Agent Testing

Design and execute comprehensive test strategies for AI code agents and autonomous systems

Test AI code agents' ability to generate, review, and validate code across risk and compliance applications

Perform edge case testing and failure scenario analysis for AI agent decision-making processes

Evaluate AI agent performance metrics, including accuracy rates, false positives,



and code quality standards

Database & Data Modeling

Validate database schemas, data models, and data integrity for risk and compliance reporting systems

Design and execute SQL queries to test data consistency, accuracy, and completeness across databases

Test Automation

Develop and maintain scalable, automated test frameworks and test suites using extensive Python expertise

Leverage Python libraries (pytest, requests, django, fastapi) for comprehensive test coverage

Execute automated tests as part of CI/CD pipelines and regression testing cycles

What you need to succeed?
Must Haves

Extensive Python proficiency with 5+ years of hands‑on development experience

Advanced Python expertise including OOP principles, design patterns, async programming, and advanced data structures

Strong software development background with experience in designing, coding, and debugging applications

Hands‑on experience testing AI models and machine learning systems

Experience designing and testing AI code agents, autonomous systems, or LLM‑powered applications

Demonstrated expertise in Large Language Model (LLM) testing, including prompt engineering, output validation, and hallucination detection

Experience testing Model Context Protocol (MCP) implementations and integrations

Knowledge of relational and non‑relational databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB)

Solid understanding of DevOps practices and containerization

Proficiency with Git and GitHub Actions for CI/CD pipeline automation and workflow orchestration

Nice to have

Software development certifications or advanced programming credentials

Experience with data governance, data quality frameworks, and metadata management

Experience with AI agent frameworks and orchestration tools

Knowledge of Infrastructure as Code (IaC) and containerization best practices

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, team-oriented, progressive, and high‑performing team

A world‑class training program in financial services

Opportunities to do challenging work

Opportunities to take on progressively greater accountabilities

Access to a variety of job opportunities across business and geographies

Job Skills
Application Testing, Decision Making, Detail‑Oriented, Group Problem Solving, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Software Product Testing, Test Automation

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: 2026-04-15

Application Deadline: 2026-08-31

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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📌 Lead Data and AI Quality Engineer (Ontario)
🏢 RBC
📍 Ontario