From Cloud to AI: One Google Engineer’s Career Pivot
The tech landscape is shifting at breakneck speed, and for many professionals, staying relevant means proactively adapting. Gautami Nadkarni, a customer engineer at Google, recently navigated this very challenge, successfully pivoting her career from cloud computing to artificial intelligence. Her story, shared on Business Insider, offers valuable lessons for anyone facing similar disruptions in their field.
The Rise of AI and a Moment of Self-Reflection
Nadkarni joined Google in 2018, focusing on designing scalable cloud solutions for enterprise clients. At the time, cloud computing was the dominant force in the industry. However, by 2023 and 2024, she noticed a significant change. AI began appearing in more and more client conversations, with customers expressing a desire to implement it across their entire businesses. This shift prompted a period of self-reflection.
“It felt like a huge shift, and I saw the writing on the wall of where the industry was headed,” Nadkarni explained. Recognizing the need to adapt, she began exploring ways to transition into the AI space in early 2025.
Upskilling and Embracing Discomfort
Nadkarni’s journey wasn’t about innate brilliance, but about a willingness to learn and grow. She admitted to initially questioning whether she was “smart enough” to work in AI, a sentiment many professionals experience when facing new challenges. However, she understood that comfort wouldn’t lead to progress.
She adopted an “80/20” rule, dedicating 80% of her time to her existing role even as allocating 20% to AI upskilling. This involved completing a GenAI certification, utilizing online resources like YouTube videos, and leveraging tools like NotebookLM to deepen her understanding. She used NotebookLM as a “personal tutor,” feeding it PDFs and asking it to quiz her on core concepts.
The Power of Networking and Building a Personal Brand
Nadkarni didn’t just focus on technical skills; she actively built her network. She aimed to connect with one new person in the AI field every two weeks, both within and outside of Google. These conversations provided valuable insights and helped her understand the different paths into the industry.
She sought advice from professionals, including one with a Ph.D. In AI, to address her concerns about qualifications. This networking also led to speaking engagements at AI-focused events, further establishing her as a thought leader.
Landing the AI Role at Google
In August 2025, an internal opportunity arose at Google for a customer engineer specializing in AI and machine learning. The interview process validated her efforts, with interviewers acknowledging her proactive engagement in the AI space. She transitioned into the new role in November 2025.
Now, instead of being a general point of contact, she’s a specialist called upon to address complex AI-related customer issues. Nadkarni views this career pivot not merely as “future-proofing,” but as a “future-defining” move, positioning herself at the forefront of innovation.
Frequently Asked Questions
- What was the biggest challenge Nadkarni faced during her career pivot?
- Overcoming her initial self-doubt about whether she was qualified to work in AI.
- How did Nadkarni balance upskilling with her existing job responsibilities?
- She used the “80/20” rule, dedicating 80% of her time to her current role and 20% to AI learning.
- What tools did Nadkarni use to learn about AI?
- She used GenAI certifications, YouTube videos, and NotebookLM.
- Was a Ph.D. Necessary to transition into AI, according to the professionals Nadkarni spoke with?
- No, she was assured by someone with a Ph.D. That it wasn’t a requirement.
Do you have a story to share about AI disrupting and transforming your career? Contact this reporter at [email protected]
