AI Native Engineering: The Future of Software Development
About the Event
For decades, software development followed a familiar pattern: engineers wrote code, applications executed instructions, and users interacted with predefined workflows.
As AI becomes deeply integrated into products and engineering workflows, software is increasingly being built around intelligent systems that can reason, generate, adapt, and act. The result is what we know as AI-Native Engineering, where engineers are no longer just building software, but designing systems that collaborate with AI.
Masters’ Union is hosting AI Native Engineering: The Future of Software Development, a focused session designed to help developers understand how software engineering is evolving in the age of AI and what skills will matter most in the years ahead.
Led by Divij Bajaj, Data & Applied Scientist II at Microsoft, this webinar will explore how AI is reshaping engineering workflows, product development, system design, and the role of software engineers themselves.
In this webinar we'll cover:
What AI-Native Engineering actually means and why it matters
How software development workflows are evolving with AI
The shift from writing software to orchestrating intelligent systems
New skills engineers need to stay relevant in an AI-first world
Career opportunities emerging at the intersection of AI and software engineering
Who is this webinar for?
This session is designed for software engineers, developers, computer science students, and aspiring AI professionals who want to understand how software engineering is evolving in the age of AI. It is particularly relevant for individuals looking to build future-ready technical skills and understand how AI is reshaping the role of engineers across industries.
About the Speaker
Divij Bajaj is a Data & Applied Scientist II at Microsoft, where he works on building Generative AI solutions for real-world applications. With prior experience at VMware and nearly seven years of experience across machine learning and production AI systems, he has worked extensively on building, scaling, and deploying AI solutions that solve business problems at scale.