What You Can Expect

As a Principal Test Engineer - AI you would be a senior member of the Software Applications Development Team responsible for defining the quality strategy, validation approach, and test architecture for Zimmer Biomet’s mymobility product, including its AI-enabled software capabilities and intelligent features. This job provides technical leadership for testing intelligent software, data-driven workflows, and integrated platform components to help ensure the product is reliable, secure, and fit for global deployment.

You would be expected to bring strong technical judgment, a risk-based mindset, and deep software quality experience to evolving areas of AI-enabled product development. This role also helps shape automation strategy, mentors other test engineers, and influences engineering practices to improve testability, observability, and overall product quality across the software development lifecycle

How You'll Create Impact

What Makes You Stand Out

• Significant experience defining and leading test strategies for complex software systems, with strong depth in software quality engineering, automation, and system integration testing.
• Experience testing AI/ML-enabled products, data-driven systems, or advanced analytics platforms in production-like or regulated environments, with a strong understanding of AI quality considerations such as model performance validation, bias and fairness assessment, explainability, robustness, data quality, and monitoring.
• Strong experience validating data pipelines, APIs, backend services, and end-to-end workflows across distributed or cloud-based architectures, with the ability to investigate and troubleshoot complex defects through analysis of logs, datasets, model outputs, APIs, and overall platform behaviour.
• Technical background in automation and test tooling, such as Python, Playwright, Cucumber, BDD or similar frameworks, along with strong SQL and data validation skills.
• Experience creating and overseeing high-quality test documentation, including test strategies, test plans, test cases, validation summaries, defect reporting, and execution metrics, with the ability to communicate technical findings, risks, and recommendations clearly to both technical and non-technical stakeholders.
• Ability to influence technical direction across engineering and product teams and advocate effectively for quality, testability, and risk-based decision-making.
• Strong analytical, planning, and organisational skills, with the ability to manage competing priorities, lead complex test efforts with minimal supervision, and embed quality practices within Agile development environments.

Your Background