A Google engineer whose job is changing due to AI explains how she's learning without burning out

"I've been in the same role the whole time, but the nature of my job is changing because of everything going on in the AI space. We get a lot of demand in AI products and we have to do a lot of trainings on it to deliver."

"I didn't transition into an AI role, but I'm working with a lot of AI services, and AI engineers who are working on features for those services. My job is a combination of working with customers and the product team, to provide technical solutions for customers."

"The more AI progresses, the more difficult it's become to keep up. As the rate of AI innovation gets quicker, the role of engineers has transitioned from"

Pratiksha Patnaik, a Google Cloud infrastructure engineer, describes how AI advancement is fundamentally transforming her role. While maintaining her infrastructure engineering position, she now works extensively with AI services and customers seeking to adopt generative AI solutions. Her responsibilities have evolved from primarily networking and security focus to include technical solutions for AI product adoption. She spends one to two hours weekly training on new AI tools and collaborates between customers and product teams to identify feature gaps and deliver appropriate solutions. The accelerating pace of AI innovation requires continuous learning to keep pace with industry changes.

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