With AI playing an increasingly important role in IT tasks and capabilities, implementation engineers must adapt and evolve their skill sets to remain competitive in the job market. Industry leaders must establish learning and development programs that will guide this talent transformation through upskilling and reskilling opportunities.
Out of 32 capabilities deemed critical for future positions, the top five areas in which implementation engineers will need to be highly proficient by 2027 are:
1. Retaining and improving foundational IT skills
2. Expanding critical thinking capabilities
3. Collaborating effectively across digital media
4. Engaging in ongoing learning
5. Focusing on maintaining and improving digital communication
With the evolution of AI technologies in business processes, tools, and roles, implementation engineers will continue to play a crucial role in organizations worldwide. However, they will not be immune to the effects of these changes.
Over the next five years, implementation engineers will need to acquire the necessary skills to utilize AI capabilities in enhancing and streamlining their tasks. Additionally, business leaders should identify proficiency gaps so that they can implement suitable training and upskilling programs to empower their engineers to succeed alongside AI, automation, and the emergent technologies that will shape the near future.
Find out which skills you and your employees need in your career to prepare for the future.