Lead Data and AI Quality Engineer

RBC; Toronto; On-site; CAD 140,000 - 180,000; Full time

Job summary

RBC seeks a Lead Data and AI Quality Engineer to own QA for AI and Non‑Financial Risk Reporting. You will design test strategies, build automation, and perform manual testing to ensure compliant, robust solutions.

You will lead testing for AI code agents, validate data models, and ensure performance across Risk workflows, APIs, and backends. Strong Python, ML testing, and DevOps experience required.

Qualifications

• Extensive Python development and testing experience in AI projects.
• Hands‑on testing across AI models, data pipelines, and risk reporting.
• Experience building reliable QA frameworks for production systems.

Responsibilities

• Design and implement test strategies aligned with risk and regulatory needs.
• Develop automated tests and QA tools for AI code agents and APIs.
• Perform functional, integration, and system testing across platforms.
• Validate data integrity and database schemas for risk reporting.
• Drive CI/CD automation and regression testing cycles.

Skills

Python programming

Async programming

Object‑oriented design

AI model testing

LLM testing

DevOps practices

Git & GitHub Actions

API testing

Data quality assurance

Tools

pytest

requests

django

fastapi

GitHub Actions

Docker

Job description

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, collaborative, 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.