The role partners with engineering, product, architecture, and data teams to improve software quality, release confidence, testing efficiency, and customer outcomes through automation, continuous testing, and emerging AI-enabled quality engineering capabilities. Understanding of Retrieval-Augmented Generation (RAG), AI agents, vector databases, prompt engineering, and AI quality characteristics including accuracy, relevance, hallucination detection, bias testing, safety validation, and model performance monitoring.