Lead, mentor talented QA engineers, fostering a culture of innovation, collaboration, and continuous improvement. Set a clear vision for how quality is defined and achieved in an AI-driven software development environment.
AI-Driven Quality Strategy
Develop and implement a comprehensive strategy for developing and testing products built leveraging agentic AI and for using GenAI to enhance testing itself. Pioneer and define a new suite of quality and performance metrics for Generative and Agentic AI models, focusing on areas like accuracy, bias, safety, relevance, and autonomous task completion. Design novel testing methodologies to validate the autonomous behavior of Agentic AI systems within our development process, ensuring their reliability and alignment with intended goals.
Cross-Functional Collaboration
Partner closely with product, engineering, and data science to embed a “quality-first” mindset in every stage of the development lifecycle for our agentic systems. Act as the key subject matter expert on AI quality, effectively communicating risks, strategies, and results to stakeholders at all levels.
Evolve our test automation frameworks to handle the non-deterministic and dynamic nature of AI-driven software. Drive the selection and implementation of new tools and infrastructure required for robustly testing and monitoring AI models and agents in production.