QA Automation Engineer - AI

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! We're pioneering a new role focused exclusively on quality assurance for GenAI/Agentic systems. As our QA Automation Engineer within AI , you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy. Your Impact - Develop and execute end-to-end automated test coverage across evaluations, APIs, UIs, and performance tests using Python. - Implement testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows within your workstream. - Run and maintain automated test suites for prompt testing, including regression tests designed to detect unintended changes in model behaviour. - Support and maintain evaluation frameworks to measure GenAI performance across accuracy, relevance, safety, consistency, and latency.

- Contribute to curating high-quality test datasets and "golden examples" that represent diverse user scenarios and edge cases. - Assist with adversarial testing to identify potential model hallucinations or biases, and support integrating production alerting systems. - Utilize internal tools and testing frameworks to help developers easily validate their GenAI code, and assist with user acceptance testing. - Take accountability for your workstream's automated coverage , documenting testing procedures and known issues in clear, accessible formats. Your Skills - Solid QA or test engineering experience, with exposure to or a keen interest in AI/ML systems. - Hands-on Python coding experience. - Good understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns. - Solid experience with test automation frameworks and scripting (Python, Pytest, API, and UI Testing). - Practical knowledge of software testing methodologies (functional, integration, regression, performance, security testing). - Ability to execute test cases and evaluate criteria for non-deterministic systems. - Experience with API testing tools (Postman, REST Assured) and backend testing. - Familiarity with CI/CD pipelines and automated testing integration. #LI-SP1 Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader.