AI-Native Engineering Workflows

TL;DR

Legacy automotive giant dumps hundreds of traditional IT staff to pivot toward model development and agentic workflows.

Who is this actually for?

Mid-to-senior engineers who have moved past basic CRUD and actually understand how to ship production-ready LLM agents.

The Good

• Forces a massive legacy organization to stop pretending and actually invest in modern data stacks.
• Creates high-leverage roles for engineers who can automate complex enterprise workflows.

The Catch (Potential Downsides)

It is still GM; you will likely spend more time in meetings about AI safety than actually writing code. Also, hiring prompt engineers as a specific role usually has a very short shelf life.