In the realm of engineering problem$-$solving, artificial intelligence $($AI$)$ proves highly beneficial in tasks like data analysis, simulation, and solution generation, streamlining processes and offering valuable insights. Nevertheless, human engagement remains pivotal in tasks such as problem definition, data validation, hypothesis formulation, decision$-$making, and implementation oversight. The intricate nature of real$-$world scenarios, ethical considerations, and the demand for creative solutions necessitate human involvement. Engineers must grasp the capabilities and limitations of AI tools, validate AI$-$generated outcomes through human expertise, and actively participate in decision$-$making to ensure the responsible and efficient application of technology. By synergizing the strengths of AI and human intelligence, engineers can leverage the advantages of precision and efficiency while upholding a comprehensive and ethical approach to problem$-$solving.