Forward deployed engineers
A forward deployed engineer, or FDE, is a software engineer who works directly with a client's teams and users. Instead of building from a distance, an FDE learns the problem on site and ships working solutions there.
How an FDE works
Enterprise AI rarely fails because a model is weak. It fails because the people building it are too far from the data, the users and the rules of the business.
An FDE closes that distance by joining your teams, learning how the work really happens, and building alongside the people who will use the result.
How it compares
Each model has its place. The main differences are what the person is accountable for and how close they work to the problem.
| Forward deployed engineer | Traditional consultant | Staff augmentation | |
|---|---|---|---|
| Main output | Working software in your environment | Recommendations and plans | Capacity for your backlog |
| Accountable for | Solving the problem | Quality of the advice | Completing assigned tasks |
| Who defines the work | Shaped together with your teams | Scoped in advance | Your managers |
| Best suited to | Ambiguous, high-value problems | Strategic decisions | Well-defined work |
When to use FDEs
The requirements will only become clear by working close to the users.
The data, rules and workflows cannot be understood from the outside.
A proof of concept works, but it has stalled on real systems and controls.
Both write production software. A forward deployed engineer also works directly with clients and users to discover the problem, so the role combines engineering with customer-facing problem solving.
A solutions engineer typically supports a sale by showing how a product fits a need. A forward deployed engineer stays with the client and builds the working solution.
FDEs stay close to your teams and shape the problem, while the pod provides extra engineering capacity to build and deliver the solution.
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