Forward deployed engineers for your enterprise rollouts, without hiring one in-house.
Senior engineers who deploy your AI product inside your customers' environments: integrations, messy data, legacy systems, compliance. One engineer or an embedded team, in US time zones.
Where the engineer sits
- Integrations
- Legacy systems
- Their data
- Compliance review
Who this is for
AI vendors, data platforms and vertical AI companies whose enterprise deals stall on deployment capacity.
The product demos well. What is slow is the eleven weeks between signature and the customer's data actually flowing through it.
What you get
Ship inside the customer's stack
Integrations, data adaptation and legacy infrastructure.
Customer-facing by design
Discovery, stakeholder communication and scoped delivery.
Scale per account
Add engineers as deployments grow.
20+Client companies acquired
92%CSAT
23+Years
250+Vetted engineers
150+Historical clients
How it works
Discovery call
The account, the environment it has to run in, and what is actually blocking the rollout.
Match engineers to the account
You meet the engineers before anyone is assigned. The match is to the customer's stack, not to a bench.
Embedded and shipping
Inside the customer's systems, working their integration backlog, reporting to your delivery lead.
Forward deployed engineering, and when to contract it
What a forward deployed engineer does
A forward deployed engineer is an applied software engineer a vendor sends inside a named customer's organisation to build production software there: in the customer's systems, against the customer's data, alongside the customer's staff. The job exists so that the vendor's platform produces a business outcome in that specific account, rather than a successful pilot that never reaches anyone's daily work.
The shape of the role is one customer and many capabilities, which is the mirror image of a product engineer's one capability across many customers. That inversion is the whole thing. A product engineer optimises for what generalises. A forward deployed engineer optimises for what this account needs this quarter, and accepts that some of it will never be reused. Today the buyers are AI model vendors, data platforms, vertical AI companies and systems integrators, and the work is a delivery role and a revenue role at once: production coding, real contact with the customer's technical staff, and the judgment to say which requests should become product and which should stay local.
How it differs from a solutions engineer
A solutions engineer supports the sale. Demos, proofs of concept, technical objections, security questionnaires: the artefact is a decision to buy, and the code written along the way is usually disposable.
A forward deployed engineer arrives after that decision and writes code that stays. The output is a running integration somebody will depend on next year, which means tests, handover and a named owner at the customer. The two roles overlap in temperament, because both spend their week in front of a customer rather than in a backlog. They separate on the measure: one is judged on a closed deal, the other on a working system in production.
How it differs from a consultant
A consultant is engaged by the customer and paid to recommend. A forward deployed engineer is engaged by the vendor and paid to make the vendor's platform work inside that customer.
That difference in who pays changes what the engagement produces. The deliverable is running software rather than a report, and the engagement finishes when the deployment is live and somebody at the customer can operate it without calling anyone. It also changes what good judgment looks like: a consultant can recommend replacing a system, while a forward deployed engineer usually has to make the platform work against the system that is already there, because that system is not going anywhere this year.
What an embedded engagement looks like
One engineer, or a small embedded team, assigned to the account rather than to a queue. Working hours that overlap the customer's day, because deployment work is a conversation and a nightly handoff is not one.
The first weeks are discovery with the customer's technical staff and then integration work against the real systems: data that is messier than the schema promised, a legacy service nobody wants to touch, a compliance review that arrives late. Scope is agreed with your delivery lead weekly and the engineer reports to you, not to the customer. When the deployment is live, the engineer either moves to the next account or hands over to the customer's own team, and which one it is should be decided at the start rather than discovered at the end.
Frequently asked
What is a forward deployed engineer?
An applied software engineer a vendor places inside a named customer's organisation to build and run production software there, in the customer's systems and against the customer's data, so the vendor's platform produces a real business outcome in that account.
How is a forward deployed engineer different from a solutions engineer?
A solutions engineer supports the sale and the code written along the way is usually disposable. A forward deployed engineer arrives after the decision to buy and writes production code that stays, with tests, handover and an owner at the customer.
Where are your engineers based, and do they travel?
Mexico and Colombia, working in US time zones with full overlap of the customer's day. Travel to a customer site is arranged per account when the deployment needs somebody physically present.