How this differs from a solutions engineer
A solutions engineer usually sits on the sales side: configuring a product enough to win the deal, then handing the account to someone else. A forward-deployed engineer stays after the deal closes. I write the integration myself, and I do not hand the pager to somebody else once the contract is signed.
How this differs from a consultant
A consultant usually leaves a recommendation. A forward-deployed engineer leaves running code. A consultant's deliverable is a document that somebody else still has to build. A forward-deployed engineer's deliverable is a system that is already live and carrying real traffic by the time the engagement ends.
Why AI made the role prominent
The role existed quietly for years inside places like Palantir, doing integration work nobody wanted to name. AI made it visible because AI agents fail in ways specific to a company's own data and its own edge cases, and no generic product can be pre-built to handle that. Somebody has to sit close to the problem, and increasingly that somebody is a forward-deployed engineer.
What a payments background brings to it
Ten years inside payment operations, at HSBC and Société Générale, taught me the discipline this role needs: scope the failure before you touch the fix, respect the cutoff, and never trust a system that only looks correct in the happy path. Payments infrastructure is one of the least forgiving environments in software, because a mistake moves real money. I bring that same respect for failure into every AI system I deploy.
Need a forward-deployed engineer on a real problem?
That is the work I do, applied to payments and agentic commerce. Book thirty minutes.
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