AnswersForward deployed engineering
In short
A forward deployed engineer works inside the customer's business, alongside the people who do the work, and answers for software running in production. Firms that offer them include lab-owned deployment companies, consultancies, integrators and platform companies. Choose on four questions: whose models they build on, who owns what is built, who runs it afterward, and how results are measured.
| Question | Why it counts | What to look for |
|---|---|---|
| Whose models? | A firm tied to one lab builds on that lab's models. | Every frontier lab and open-weight models, chosen per task. |
| Who owns what is built? | The context, instructions, evaluations and models are the lasting value. | You keep them, in a form you can export. |
| Who runs it afterward? | Software needs tuning after the engineers leave. | A platform it keeps running on, and a team trained to own it. |
| How is it measured? | Without a baseline, success is opinion. | A baseline set before the build and monthly measurement after. |
AI only works once it is wired into a company's systems, rules and exceptions, and that knowledge sits with the people doing the work. Engineers who sit with them and ship into production close the gap between a demo and a running system.
Fig's forward deployed engineers build on CosmOS, Fig's own platform, across every frontier lab. They start with a pilot that puts one workflow into production in weeks, and the company keeps what they build. Fig Academy trains the teams who run it afterward.
Forward deployed engineering →Fig vs. Accenture, McKinsey and BCG →
Works inside the customer's business with the people who do the work, builds production systems on the vendor's platform, and stays accountable for them running.
A forward deployed engineer ships and answers for running software in production; strategy work ends in recommendations.
The first workflow reaches production in weeks, and later systems build on the same platform.
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