The rise of AI has created a shift in the skills companies look for, as well as how they train workers to establish new mindsets around embracing AI for their work. As a result, roles across the IT spectrum are poised to change, including software engineering, QA, data analysis, project and product management, and IT service management, Indeed reports.
Evolving roles and redeployments
Generative AI has shifted the skills requirements of IT roles, with increasing emphasis on prompt engineering, AI integration, and complex problem-solving, says Manu Sood, senior vice president of technology at AvidXchange.
“I strongly feel every single level of role in software engineering as we know it today is going to change, and we will have to redefine the roles,” says Sood, who gives the example of junior engineers who typically focus on writing “boilerplate code, debugging, and documenting” — all tasks now largely automated by AI. As a result, employers are now looking for junior engineers with more diverse skills such as problem-solving, problem-framing, and reviewing AI code.
