The ongoing digitalisation of engineering processes, combined with the rapid development of artificial intelligence (AI), is transforming contemporary approaches to mechanical design. This article presents generative design as a methodology that employs optimisation algorithms and machine learning techniques to autonomously generate alternative structural solutions. The study demonstrates the design process of a vacuum gripper for a Universal Robots UR10E manipulator, developed in Autodesk Fusion 360 using the Generative Design module. The results are analysed in terms of efficiency and applicability within mechanical engineering. In the article, analyses were performed using FEM simulations. The final design was fabricated using FDM 3D printing technology to enable prototype visualisation.