Forward deployed engineer: the career recruiters called job-hopping
A forward deployed engineer (FDE) is an engineer who steps into the client’s team and builds software or AI there, directly in the real systems and processes, until it demonstrably runs. No advice from the sidelines. In the Netherlands alone the term is searched 480 times a month (DataForSEO, July 2026). On this page: what the role involves, what it pays, and when to hire one versus bringing in the work.
Why everyone suddenly talks about it
The role comes from Palantir, which has had engineers building on-site at clients for years. OpenAI and Anthropic have hundreds of openings for it. Aaron Levie, CEO of Box, announced on X on April 30 that Box will hire and retrain internal forward deployed engineers to get agents working on critical business processes.
Uber built a structure around it: agentic pods, where its most AI-capable engineers sprint for two weeks with a domain expert from finance, legal or marketing. Sixteen pods in two months. One pod cut budget decisions across 150 cities from 15 hours to 30 minutes (X thread by Uber’s CTO, July 2026).
The Netherlands is joining in. Last spring a Dutch IT director posted a LinkedIn vacancy for an “AI-native colleague”: no traditional role, no fixed department, someone who talks as easily as they build. That is the FDE profile, only the name is missing. My inbox carries the same question from directors: where do I find this person?
I did this job before it had a name
My CV: the app team at KPN, marketing intelligence at insurer Reaal, the acquisition team at Eneco, Head of Data at ride-hailing platform Free Now in Hamburg. Then I co-founded an AI consultancy, which I handed over this summer. I never stayed anywhere longer than two years; recruiters saw a risk.
The work was the same everywhere, only the domain changed: telecom, insurance, energy, mobility, AI. Land in the middle of a business team, learn the systems, build what is needed, bring people along, make myself redundant and move on. Free Now was the same kind of platform as Uber, the company now held up as the textbook example of this way of working.
A career path that fit no org chart in 2015 is the profile companies ask for in 2026.
What does a forward deployed engineer earn?
In the US the median base salary is $210,000. The 25th percentile earns $165,000, senior and staff profiles reach $243,000 (Recruiting from Scratch, based on 300+ technical placements, 2026). The Netherlands has no reliable benchmark yet; the supply is too thin.
That scarcity is the real problem. You compete for this profile with OpenAI, Anthropic and Palantir. For most Dutch companies the question is not what this person costs, but whether you can get them, and give them enough work to stay.
When you should hire one in-house
This may cost me an engagement, but the honest answer: sometimes you should simply employ this person. The line is not your company size but the nature of your constraint. Do you have an established IT landscape, your own data team and a sizeable marketing and sales operation, with the delay sitting mostly in communication between departments and the question of who owns what? Then this role belongs inside your organisation: someone who stays, learns the dynamics and can be held to account.
The IT director with that vacancy is doing the right thing. For that type of organisation an external builder is a patch on an organisational question.
And when not: hire the work, not the role
Below that line, say 50 to 500 employees without a data team, this hire is the wrong solution. You will not win the talent fight with the labs. And if you do, that person runs out of things to build after the first bottlenecks are solved.
What you need is the work, not the job: someone who builds in your systems, shows that it runs and then makes themselves redundant. That is what I do. Fixed price, end date, and an honest verdict up front; even when that verdict is that you should hire someone instead.
Frequently asked
What is a forward deployed engineer?
A forward deployed engineer (FDE) is a software or AI engineer who works directly in the client’s environment: building solutions inside the existing systems and workflows, rather than advising or delivering a product from a distance. The role comes from Palantir and became known through OpenAI and Anthropic.
What does a forward deployed engineer earn?
In the US: median $210,000 base salary, 25th percentile $165,000, senior up to $243,000 (Recruiting from Scratch, 300+ placements, 2026). The Netherlands has no benchmark yet; supply is small and demand is growing.
What is the difference between an FDE and an AI consultant?
An AI consultant advises what to do; a forward deployed engineer builds it, in your systems, with your team. In practice you want both: first choose sharply which use case makes money, then build until it runs in production.
What does it cost to bring in a forward deployed engineer?
At Honest AI it starts with a Scan from €1,995 ex VAT, about a week of work: a review of your AI plans with a verdict per plan. Building happens in a Pilot-to-Production sprint of four weeks at most. A fraction of a yearly salary on this profile, without a permanent contract.
How do you become a forward deployed engineer?
Not with a course but with proof. Sit next to the business team, build something that solves a measurable bottleneck and share the result, internally or publicly. The title will change again in the coming years; the work, building where the business feels it, stays.
The honest conclusion
Forward deployed engineer is not a hype job but a way of working that finally has a name. If your organisation can feed this person, with a data team and a stream of work, hire one. If it cannot, hire the work instead of the role, and settle on what actually runs.
Torn between hiring and bringing in?
Book a working session. I will look at your landscape with you and tell you honestly which way I would go; even when the answer is: hire someone.