The Engineer You Already Employ
Palantir invented the Forward Deployed Engineer because understanding an operation is the half that never got cheap. Most plants already employ that understanding.
Every AI company is copying Palantir's Forward Deployed Engineer, and they are copying it for one reason — code is the half that got cheap.
01The half that did not get cheap
Palantir's idea was to stop selling software from a distance and put their own engineers inside the customer's operation, building where the problem actually lives. Their job board still calls it the original forward deployed software engineer. OpenAI and Anthropic are hiring the same shape right now.
The premium is not for the code. Anyone can get the tools; almost nobody puts in the hours. What a company is buying when it flies someone in is the willingness to sit inside an operation long enough to understand it.
That half never got cheap, and there is no sign it is going to.
AI did not change the balance. It made building open to almost anyone and left the understanding exactly where it always was — inside people who have watched one process behave for years.
02The knowledge is already inside the fence
Most plants have one or two people who studied on their own time and kept going after the first no. Your supervisors already know their names. They are not a hidden resource; they are a well-known one that nothing is pointed at.
The visiting engineer is not smarter than those people. He arrives with an executive sponsor, a budget, and time set aside for the work. Your own person has a suggestion and a spare hour after a shift.
The visiting engineer is not smarter than your own people. He arrives with time set aside.
Ask around and you will usually find something already built — a spreadsheet that does a calculation nobody wants to do twice, a checklist that got shared and then quietly got adopted. It was made on somebody's own time, and it is running right now.
This is the same argument as Entry 07 from the other end: you can teach an operator a new tool far faster than you can teach a tool twenty years of the floor.
03Two ways to buy the same thing
Your approval process is built to keep bad software out. It does that job, and it should. Nobody sensible wants an unreviewed tool deciding anything on a plant.
It also means the person who understands the process cannot test anything small. There is no sanctioned path between having an idea on shift and finding out whether it works. So the understanding stays where it is, and the plant buys the same understanding from outside instead.
Both routes end at the same place: a working tool that fits the operation. One of them is a day rate for a stranger to learn your business from the beginning. The other is a short path you have not built yet — cheaper every time, and the one nobody has a process for.
Ask your supervisors one question this week. Who here has already built something on their own time, without being asked? Then ask what it would take to let that person test something small, safely.
Sources: Palantir careers, "The Original Forward Deployed Software Engineer". OpenAI and Anthropic public listings for forward-deployed roles, 2026.
Someone is flown in to build where the problem lives — inside the operation, not from a distance. The half that got cheap is the code. The half that did not is understanding the operation. The understanding was inside the fence the whole time. What it lacked was a sanctioned way to test. Two ways to buy the same thing: a safe path for the person you employ, or a day rate for a stranger.
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