AI Careers Mixer: Delhi Edition

About the Event The AI job market is evolving faster than most professionals can keep up. As AI adoption accelerates across industries, companies are no longer hiring solely for traditional software engineering, data science or machine learning roles. A new generation of careers…

About

About the Event The AI job market is evolving faster than most professionals can keep up. As AI adoption accelerates across industries, companies are no longer hiring solely for traditional software engineering, data science or machine learning roles. A new generation of careers is emerging at the intersection of AI, engineering, product, and business, with employers placing increasing emphasis on practical capability, real-world problem solving, and the ability to build with AI. For professionals looking to build a meaningful career in this new landscape, understanding where the market is headed has become just as important as learning the technology itself. To help professionals navigate this shift, Masters' Union is bringing together leaders working at the forefront of AI, applied AI engineering, and AI education for an exclusive AI Careers Mixer | Delhi Edition. Through candid conversations, the evening will explore how the AI talent landscape is evolving, what organisations are looking for in AI professionals, and how individuals can prepare for the next generation of AI careers. The evening will conclude with an open networking mixer, giving participants the opportunity to interact directly with the speakers, exchange ideas with fellow professionals, and become part of a growing community of engineers, builders, and AI practitioners shaping the future of AI. In the mixer we’ll learn explore Building an AI career in 2026: the skills, projects, and proof of work that matter most How emerging AI roles such as Forward Deployed Engineer are redefining career opportunities for software engineers The practical roadmap to building technical depth and preparing for frontier AI roles at organisations like OpenAI How AI is reshaping the future of work and what professionals need to do to remain relevant in an AI-first economy Perspectives on how Masters' Union's PGP in Applied AI & Agentic Systems is preparing professionals for the next generation of AI careers About the Hosts Praneeth Chandu is a Forward Deployed Engineer at OpenAI, where he works closely with organisations to build and deploy real-world AI solutions using frontier AI technologies. Working at the intersection of engineering, product, and applied AI, he helps translate cutting-edge AI capabilities into practical systems while bringing firsthand insights into modern AI engineering, real-world deployment, and building a career at the forefront of artificial intelligence. 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. Divyashish Jindal is a graduate of IIT Delhi, building the School of AI  at Masters’ Union. He works closely on building AI-focused learning experiences and helping aspiring professionals develop industry-relevant technical capabilities. Through his work at the intersection of AI education, engineering, and career development, he brings deep insight into how AI is transforming industries and what professionals need to do to build successful careers in an increasingly AI-driven world. Who is this event for? Software engineers, developers, data professionals, product managers, consultants, founders, and working professionals who are actively exploring careers in AI, looking to understand where the market is headed, and seeking opportunities to engage with practitioners building AI at some of the world's leading organisations. Stick around post-session for networking, snacks, and the kind of conversations that don't fit on a slide.