Five Professionals Share How They Pivoted Into AI Careers

Natasha Crampton, Microsoft’s first chief responsible AI officer, began her career as an attorney. She argues that the greatest value often resides at the intersection of technical literacy and social science. According to Crampton, those looking to pivot should focus on practical application of the technology rather than fearing a lack of a traditional computer science background.

For others, the path is defined by unconventional hiring processes. Georgian Tutuianu, an AI engineer at HubSpot, bypassed traditional algorithmic interviews by showcasing personal projects. Similarly, Jai Raj Choudhary secured his role at startup StackAI by persistently engaging with the company’s leadership on LinkedIn and demonstrating a deep understanding of data quality and model failure modes. Choudhary notes that relocating to tech hubs like San Francisco and committing to an intensive, high-output work culture were decisive factors in his transition.

Non-technical backgrounds can also prove to be a hidden advantage. Brit Morenus, a senior AI gamification program manager at Microsoft, credits her English degree for her ability to effectively apply language to AI development. Meanwhile, Sajani Lokuge transitioned from UX design to AI communications by leveraging her existing skill set to simplify complex technical concepts for users. Her advice for aspiring candidates is to embrace the learning curve, noting that in an industry evolving this rapidly, no one starts out feeling fully prepared.