Lead Data Engineer AI Quality Assurance

Position: Lead Data Engineer for AI Quality Assurance
Drive excellence in quality assurance as a Lead Data and AI Quality Engineer n a collaborative Risk and Compliance team focused on AI and Non-Financial Risk Reporting solutions.

In this strategic role, you will oversee quality assurance processes, ensuring compliance with regulatory standards through both manual and automated testing methodologies. Your leadership will be pivotal in crafting test strategies and guiding the delivery of high-quality technology solutions. Collaborate with stakeholders to turn regulatory requirements into effective testing plans.

Key Responsibilities:

• Design and implement test strategies based on risk regulations

• Create test plans and acceptance criteria for AI solutions

• Develop automated testing frameworks using Python

• Validate performance across various compliance workflows

• Analyze AI code agent functionality and compliance standards

Requirements:

• Proven experience in Python development (5+ years)

• Advanced knowledge in AI model testing

• Experience with database management systems

• Competency in CI/CD and containerization

• Solid background in software testing practices

Join RBC and make a significant impact on compliance and quality assurance initiatives.
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