Staff Quality Assurance Engineer

Senior Expert, Quality Engineer (QE)

We are seeking a Senior Expert, Quality Engineer (QE) with deep expertise in quality engineering for AI-powered systems. In this role, you will own and lead end-to-end quality for your project while playing a key role in testing and evaluating complex, non-deterministic AI systems. You will help shape the quality strategy for the project and raise the overall quality bar for the teams you work with.

Core Quality Engineering

• Define quality strategies and own test planning from requirements through release, partnering closely with cross-functional teams
• Design and execute scalable functional, regression, and integration testing strategies
• Apply hands-on automation framework expertise across UI, API, and backend layers to support major product initiatives

AI & LLM System Testing

• Test AI-driven functionality, including LLM agents, multi-agent workflows, and RAG pipelines
• Validate AI outputs for accuracy, relevance, consistency, and edge cases across non-deterministic systems
• Own evaluation frameworks (e.g., RAGAS), test datasets, and regression baselines for AI features
• Stay current with the evolving landscape of LLM evaluation, agent testing, and AI observability, and translate emerging techniques into practical testing approaches

Technical Leadership & Delivery

• Lead QE team for your project by setting technical direction, defining quality strategy, and ensuring delivery confidence
• Contribute to QE standards and frameworks within your project scope, establishing practices that other engineers can adopt
• Integrate automated tests into CI/CD pipelines and partner with engineering leads to embed quality into the delivery process
• Leverage data, risk signals, and production insights to continuously improve test coverage and effectiveness

What You'll Bring

• 8+ years of experience in Quality Engineering or Quality Assurance
• Proven hands-on experience testing AI/LLM-based systems, including agents, multi-agent workflows, and RAG pipelines
• Experience with AI evaluation approaches (e.g., RAGAS, LLM-as-judge, regression baselines) and non-deterministic testing strategies
• Strong automation skills using Playwright or a comparable framework
• Proficiency in JavaScript/TypeScript and/or Java
• Solid experience with API testing and data validation
• Demonstrated track record of leading quality end-to-end for complex projects, from strategy through execution
• Ability to define and drive QE technical direction within a project or product area
• Experience working in Agile delivery environments and contributing to fast-moving release cycles

Nice to Have

• Hands-on experience with prompting, embeddings, or vector databases
• Cloud experience (AWS preferred)
• Exposure to AI-assisted development or testing tools (e.g., Cursor, Copilot)
• Experience with AI observability or monitoring tools for production LLM systems

This is a hybrid role based in Hoboken, NJ. The ideal candidate should be able to work from the Hoboken office at least 2–3 days per week.

Applications will be accepted through July 7. This window may be extended depending on business needs.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range for this position is between $130,000 - $150,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.