Hire a forward deployed engineer without a three-month search
You can hire a forward deployed engineer full-time, but FDE searches take 8-12 weeks and few engineers want the job. The faster route is an interim or fractional FDE: a senior engineer embedded in your team 2-3 days a week, working to a 30-day goal agreed up front. I do this for $16,000-$20,000 per month.
This page is for founders and engineering leaders who need AI in production before a full-time hire could start, whether that's a stalled pilot or an enterprise customer waiting on a deployment your team has no time for. New to the role? Start with what a forward deployed engineer is.
I'm Christian Vismara, co-founder and CTO of Digital Kitchen, and I'm one of the options below, so I'll be specific about when I'm the wrong one.
Why does it take so long to hire a forward deployed engineer?
Demand for FDEs grew much faster than the number of people who can do the job, and most engineering candidates don't want it.
Lightcast counted about 200 US FDE job postings in all of 2024 and more than 5,200 between January and July 2026. Gartner puts the number of working FDEs at only about 2,000, and a recruiter quoted in The Pragmatic Engineer says maybe 10% of engineers want the role.
You're also up against a lot of startups. According to the recruiting marketplace Paraform, 59% of the companies hiring FDEs through it are seed to Series A. Its FDE searches take 8-12 weeks, and the placement fee runs around 25% of first-year base.
Pay makes it harder. OpenAI's FDE base band runs $185,000-$325,000 plus equity, so a startup is bidding against the labs for the same people. Salaries are broken down in what a forward deployed engineer costs.
The cost that never makes the offer letter is time: a 12-week search is a quarter in which your pilot sits still.
Full-time FDE or fractional FDE: how the options compare
Hire full-time when the work is permanent and close to your product. For production results before a hire could even start, bring in an interim FDE or, if the scope needs a team, a studio.
| Factor | Full-time hire | Interim or contract FDE | AI studio |
|---|---|---|---|
| Time to start | 8-12 week search (Paraform), then onboarding | Once the days and the first 30-day goal are agreed | Starts with a paid diagnostic |
| Cost | About $179,000 average base (Indeed), plus equity and benefits. Recruiter fee around 25% of first-year base | $16,000-$20,000 per month for 2-3 days a week, or $175-$250 per hour (my rates) | Small studios quote around $5,000-$15,000 for a diagnostic, then around $25,000-$50,000 per workflow to production. Digital Kitchen charges $7,500, then $25,000-$60,000 |
| What you get | A permanent team member who builds context over time | A senior engineer inside your team now, with a written goal and a handover | A senior engineer with a team behind them, on a fixed scope |
| Risk | A wrong hire is slow to undo, and the project waits during the search | Part-time attention. Without an owner on your side, the knowledge leaves with the engineer | Lock-in, if nobody plans the exit. Put code ownership and the handover in the contract |
In the New York listings Digital Kitchen tracked in 2026, fractional AI-lead contracts ran $175-$300 an hour.
Before any of this, check whether software you can buy already does the job (build vs buy AI) and whether you need leadership more than hands-on building (what a fractional CTO costs).
What an interim forward deployed engineer does in the first 90 days
Nothing goes live in the first month. I spend it with your team, mapping how the work runs today and measuring it, because you can't prove an improvement without a baseline.
Days 1-30: map one workflow and measure it
I sit with the people who do the work and walk the process with them, exceptions included. Access to the system of record comes early, because a pilot built on exported spreadsheets proves very little. By day 30 you have:
- A baseline: how long the work takes today and how often it goes wrong.
- A call on every step: a model, plain code, a human approval, or delete it.
- An eval set built from your own real cases.
- A written goal for the next 60 days.
Days 31-60: build inside your systems, then shadow mode
The build happens inside the tools you already use, down to the Slack or Teams channel where people approve things today. Every change runs against the eval set. Where money or risk is involved, a person approves before anything moves, and every action leaves an audit trail.
Then the system runs in shadow mode next to your team, and we compare its output with what your people actually did, case by case. Nobody relies on it until those numbers hold up.
Days 61-90: go live and hand over
Go-live happens in stages, starting with the cases shadow mode handled well. I fix the exceptions it surfaced, write the handover (runbook, eval suite, architecture notes, the reasons behind each decision) and pair with whoever on your team will own the system. If there is a next workflow, we decide then whether I stay on for it or Digital Kitchen takes it with a bigger team.
When the process turns out messier than it looked, you hear about it in the first month, with the baseline to back it up.
What to check before you hire anyone with the FDE title
Look for production history and a habit of handing things over. The title itself costs nothing to put on a LinkedIn profile.
A system still running in production. Ask for one, and ask what broke after launch. Anyone who has done this work has a story about a bad first week.
Comfort with operations people. Put them in a room with your AP lead or your support manager. Good candidates come back with the exceptions. Weak ones come back with a slide about agents.
An eval plan. Ask how they will know it works. The answer you want is a set of your real cases with known right answers, run on every change. "We'll test it" is the answer you don't want.
Things written down. Decision logs, runbooks, architecture notes, a README a stranger could follow. If the plan lives in one person's head, so does your system.
Experience with your system of record. Whether the truth lives in NetSuite or in a Postgres database your team built, they should ask for access early and know what breaks when they write to it.
A handover plan before they start. Ask what your team will be able to do without them at the end. A vague answer means you are buying a dependency.
What are the red flags of FDE washing?
FDE washing is the phrase Gartner uses for ordinary consulting relabeled as forward deployed engineering. You can spot most of it before you sign.
The renaming is real. The Register reported in October 2026 that DoIT moved its long-running customer reliability engineering practice under the FDE name in late 2025. An old practice can earn a new name, so the title alone tells you nothing. The bills are real too: Gartner says vendor FDE consulting can run up to about $200,000 a quarter for a single use case, according to Channel Dive. It also predicts that by 2028, 70% of enterprises will walk away from agentic AI that vendor FDEs built for them, as the costs keep rising and the companies can't change those systems on their own.
- The deliverable is a roadmap or a deck, with no running software at the end.
- They build on their own platform, and nothing works without them.
- Success is defined as a demo, and there is no eval plan.
- The contract says nothing about knowledge transfer or an exit plan. Gartner's advice is to settle both from day one, along with scope, incentives, governance and ownership.
- Billing runs by the quarter with no defined scope.
The longer version of this argument is in forward deployed engineer vs consultant.
What I offer and what it costs
You can hire me by the month as an interim FDE or by the hour for scoped pieces. Team-sized work goes through Digital Kitchen.
Interim forward-deployed engineer: $16,000-$20,000 per month. Embedded in your team 2-3 days a week, on site in New York or remote. We agree the days and the first 30-day goal before I start.
Hourly FDE work: $175-$250 per hour for scoped pieces, such as a stalled integration or evals for a system you already run.
Team-sized scopes: when the work needs more than one engineer, I bring Digital Kitchen, the studio I co-founded. It sells the same kind of seat as its Embedded Engineer, at the same price, with the studio behind the engineer.
No full-time W-2 roles.
My background, briefly: 11+ years of building software and 10+ AI products built end to end. At Chatterbox I took over as lead engineer and rebuilt the platform through a seed round and the pivot from B2C to B2B. As fractional CTO for LaunchPharm, I moved a pharma marketing platform used by 2,000+ healthcare professionals in 67 countries off vendor-locked iframes and onto self-hosted Kubernetes. I live in Astoria, Queens, so working on site in New York is the easy part.
Frequently asked questions
How long does it take to hire a forward deployed engineer?
A full-time FDE search takes 8-12 weeks, according to the recruiting marketplace Paraform, and that is before notice periods and onboarding. An interim FDE can start as soon as the on-site days and the first 30-day goal are agreed, with no search and no placement fee.
What is a fractional forward deployed engineer?
A fractional forward deployed engineer (some listings say fractional AI engineer) is a senior engineer who works inside your team for part of the week. The job is the same as a full-time FDE's: map the real process, build inside your systems, test with evals and hand it over. On Go Fractional, a fractional talent marketplace, part-time GenAI engineers start at $5,000 a month for 5-10 hours of work a week.
What is FDE as a service?
FDE as a service means renting forward deployed engineering instead of hiring it: a contractor or studio embeds a senior engineer in your team for a set period, with a defined goal and a handover at the end. Digital Kitchen, the AI studio I co-founded, sells it as its Embedded Engineer, with the studio behind the engineer. If one person is enough, you can also contract me directly.
Should I hire a full-time forward deployed engineer or a contractor?
Hire full-time when the work is permanent and close to your core product, and expect the search to take 8-12 weeks (Paraform's figure). Use a contractor or interim FDE when you need one workflow in production soon. You can also do both: the interim FDE gets the first workflow live while the search runs, then hands over to the hire.
Do you take full-time roles?
No. Full-time W-2 roles are off the table. I work as an interim forward deployed engineer, 2-3 days a week for $16,000-$20,000 per month, or hourly at $175-$250 for scoped pieces. When the work needs more than one engineer, I bring Digital Kitchen, the AI studio I co-founded.
Need an FDE before a hire could start?
Book a 30-minute call and walk me through the workflow and where it got stuck. You'll leave knowing which hiring route fits, even if it isn't me. Still deciding what to automate? Take the free AI Reality Check first.