AI safety engineers analyse system risks, test failure modes, perform robustness evaluation, design safety frameworks, and ensure alignment with human-intended behaviour. They work on adversarial robustness, interpretability, uncertainty modelling, safety constraints, and governance protocols for AI-driven systems. Their work is crucial for high-risk applications such as autonomous vehicles, robotics, healthcare AI, and defence systems. Growing regulatory pressure and global concern about AI reliability have made AI safety one of the most strategic emerging career paths.