This study reviews the integration of Generative Artificial Intelligence (Gen AI) in engineering education, examining its impact and potential future developments. As Gen AI transforms traditional teaching methodologies, its incorporation into engineering curricula can enhance personalized learning, creative problem-solving, and instructional material generation. This review assesses current implementations and explores the efficacy of generative AI in improving student engagement and outcomes. Ethical concerns such as data privacy, algorithmic bias, and the authenticity of AI-generated content are critically analyzed to address the challenges posed to educational integrity and accreditation standards. The paper also forecasts emerging trends, suggesting a paradigm shift towards more interactive and adaptive learning environments enabled by AI advancements. By providing a roadmap for future research and application, this study aims to guide educators and policymakers in implementing Gen AI responsibly to cultivate a new generation of skilled engineers equipped to succeed in a technology-driven environment. This synthesis not only highlights the transformative potential of Gen AI but also emphasizes the need for a solid framework to ensure its ethical and effective integration into engineering education.