This year, the biggest names in AI started hiring the same kind of engineer. AWS committed $1 billion to forward deployed engineering, and Anthropic plans to train 10,000 forward deployed engineers by the end of 2027. OpenAI launched a deployment company with more than $4 billion behind it.
It’s easy to read that and picture one hero: an engineer who shows up, writes the code and fixes everything. In practice, the forward deployed engineer is one part of a small team. The team is what makes it work.
A great engineer can’t do it alone.
The model took shape at Palantir, where engineers called Deltas worked alongside deployment strategists called Echos. The engineers built. The strategists made sure what they built solved the problem that actually mattered.
Take either one away and it breaks. Without the strategist, you get impressive software nobody needed. Without the engineer, you get great conversations and nothing shipped. Today OpenAI and Anthropic hire the same pair, under titles like Forward Deployed Engineer and Deployment Lead.
Who’s in the room, and what they own.
The pair is the heart of it. Around them, two more roles make sure the work fits today and scales tomorrow.
- Deployment Strategist: owns the problemLearns what the team is really trying to do, keeps everyone aligned and makes sure what gets built actually gets used.
- Solutions Architect: shapes the solutionDesigns how it fits with the systems, data and rules a company already has, before anyone writes code.
- Forward Deployed Engineer: builds it in the roomSits with the people doing the work, hears the request firsthand, ships working software and stays until it’s used.
- Platform Architect: makes it repeatableTurns what keeps coming up across projects into shared pieces, so every new build starts further ahead.
The best handoff is the one that never has to happen.
Open by Design
One loop, not a relay race.
In a relay race, each runner hands off the baton and steps away. That’s exactly where context gets lost. These four roles work more like a loop, where everyone stays close to the work.
- ListenThe deployment strategist and the engineer sit with the team to learn how the work really runs, and why.
- DesignThe solutions architect shapes a plan that fits the company’s systems, data and rules.
- BuildThe forward deployed engineer builds it with the team and tests it against real work every day.
- ScaleWhat keeps repeating goes back to the platform architect and becomes part of the platform, so the next build moves faster.
That last step is the one most people miss. A good forward deployed engineer feeds the patterns they see back to the product, and that’s what keeps the model from becoming consulting with a better title.
We were built this way from day one.
At Waifinder, one person owns your problem from the first conversation through delivery. Our engineers build around how your team really works, and what we learn along the way goes back into our platform, so every project starts further ahead.
- No black boxes
- Everyone in the loop, from day one
If your AI isn’t being used, you don’t need another tool. You need the right people in the room.