AVP GM Financial | Why This Engineering Leader Isn't Worried About AI

Most conversations about AI right now sound like either the world's ending or it's just beginning. Seng Lin Shee has a different read: we've been here before.

In this episode, Seng Lin makes the case that multi-agent systems are essentially multi-threading with English, that good engineering principles don't expire just because the tooling changed, and that the leaders who've already seen a few cycles have most of the mental models they need for this one. We get into how he runs a team that spans interns to 30-year veterans, why he bakes learning directly into performance reviews, and how his team went from building one internal RAG tool to running a platform that helps the rest of a regulated finance company ship GenAI safely.

If you've been feeling like the floor is shifting under engineering leadership, this one's a useful counterweight. Seng Lin is one of the more optimistic voices we've had on, and his optimism is grounded in something most people aren't talking about: pattern recognition.

*About the guest:*
Seng Lin Shee, PhD, leads innovation labs and generative AI work at GM Financial, where his team operates as a platform and accelerator for GenAI applications across the company. Before GM Financial, he held architecture and engineering roles spanning finance, cloud, real estate, HCM, and EV. He's been in the field long enough to have shipped his first product on Windows 2008 R2 and to have read his email in Pine, which is part of why his "we've been here before" thesis lands the way it does.

*About Tech Teams Today:*