Why senior engineers are grieving a job that no longer exists

“AI might take our jobs” is a gross oversimplification. It may even take your soul.

The industry as a whole is going through a career crisis right now, and I don't think we are talking about the real reason.

For many experienced engineers, the uncomfortable part is that the job they spent 10, 15, sometimes 20 years becoming excellent at is quietly changing underneath them.

The part of the job engineers loved

Think about what made someone fall in love with engineering in the first place. You took a messy problem, understood it, designed a solution, wrote the code, tested it, fixed the ugly edge cases, and eventually watched something you built work in production.

There was a certain satisfaction in that process, be it monoliths or microservices.

Now imagine being very good at that work and suddenly spending a much larger part of your week reviewing AI-generated code, checking PRs, debugging things you didn't write, orchestrating agents, and validating whether something produced by a machine actually makes sense.

You may be shipping more; you may even be more productive according to every dashboard your company uses. And yet you can still feel like you are losing the part of the job you actually loved.

Why senior engineers may struggle more

That is why I think some senior engineers and leaders are going to struggle more with AI than junior engineers. They have more to lose psychologically.

Their professional identity was built around craftsmanship. They spent years developing judgment, technical depth, and an almost instinctive understanding of how good software should be built.

I still remember writing my first bash script. It was not elegant at all, used thrice the code than required and all my CPU cores used to spike to 100% every 3 seconds.

I loved it!

Now, organizations are rewarding a different set of behaviors: move faster, generate more, review more, manage the agents. Keep the pipeline moving.

Director interviews are hands-on again

And there is a nasty little problem hiding underneath all of this. AI can generate thousands of lines of code very quickly, but somebody still has to understand what those lines actually do.

I kid you not, almost all of our clients interviewing for Director positions are having to roll up their sleeves and show hands-on expertise in their relevant technologies to make it to the next round.

Why? Because AI has enabled teams to shrink because leaders are now able to own even larger parts of the whole SDLC.

That is a career signal worth paying attention to. Now you need to know architecture, product, business impact, systems, trade-offs, AI WHILE also owning development at a granular level to land anything substantial in the modern job market.

The market is changing, and your career needs to change with it.

If you’re having trouble navigating this AI-powered job market, we’re here to help.