Forward Deployed Engineers

The pitch lands. Leadership signs. The contract is done. Then nothing happens, or it takes eight months, three consultants and a small fortune before anyone sees value.
By then half the team has lost faith and the other half has built workarounds. That gap between buying software and using it is exactly what the Forward Deployed Engineer (FDE) was created to close.

Palantir invented the FDE in the early 2010s, out of necessity. Its first customers were intelligence agencies whose problems were classified, messy and poorly understood even from the inside. Nobody could hand over a requirements document.
So Palantir sent engineers to sit inside those organisations, watch how people worked and build solutions on the spot. Until roughly 2016, it had more FDEs than traditional software engineers. Then AI made the model everyone's problem.

Traditional SaaS was predictable. You configured fields, followed the setup guide, and the software did what it said.
AI depends on your data, your workflows, your approvals and your compliance rules. Deployment raises questions no model can answer: which systems can it access, who approves its decisions, how is sensitive data handled, what happens when it's wrong?

That's why so many AI pilots stall after the proof of concept. The technology works. Nobody bridged the gap.

Take an AI assistant for a hospital. A software engineer writes code. A consultant recommends a strategy. An FDE sits with doctors and nurses, walks the real patient workflow, checks compliance, writes production code, ships it, measures whether people use it, and fixes what doesn't work.
Then they take what they learned back to their own product team, so the next customer doesn't hit the same wall. Consultants advise. FDEs ship.

In 2025, demand for the role exploded across AI labs, cloud platforms and fintech. Anthropic, OpenAI, Palantir, Stripe and Google Cloud are among the companies hiring.

When every category converges on the same hire at once, something structural has changed. Selling AI without the ability to deploy it isn't selling a product. It's selling a demo.

You may never hire an FDE. But this shift changes what you should expect from vendors. Before you sign, ask:

The answers tell you whether you're buying a product or a promise.

For decades, product companies built software and services companies sent people. The best AI companies now do both, because AI needs more human involvement at deployment than traditional software ever did.
SaaS gave businesses tools. AI promises outcomes. But outcomes don't deploy themselves, and the gap between buying AI and using it is the most expensive gap in business technology right now.