A Xai job typically involves working with Explainable AI (XAI), which focuses on making AI models more transparent and interpretable. Professionals in this role develop methods to help users understand how AI systems make decisions, ensuring fairness, accountability, and trust. Responsibilities may include researching interpretability techniques, implementing explainability frameworks, and collaborating with data scientists and engineers. These roles are common in industries like healthcare, finance, and autonomous systems, where understanding AI decisions is critical.