Commercials

The contract for an embedded engagement

Before an outside engineer touches your repository, six things belong in writing: IP assignment on creation, scoped repository access rather than organization-wide, production access as a named exception with an audit trail, a production date, a handover date with a defined artefact, and subcontractor binding. The one people get wrong most often is the first: an NDA covers secrecy and does not assign ownership of what the vendor creates. Those are two separate clauses and you need both.

Key takeaways

  • An NDA covers confidentiality and does not assign ownership. IP assignment is a separate clause and should vest on creation.
  • Scope repository access to the repositories the work touches, not the whole organization. Production access is a named exception, not a default.
  • Both dates belong in the contract at signature: production, and handover with a defined artefact.
  • Bind subcontractors to the same terms. A vendor who passes work on does not automatically pass on your protections.

This is the checklist for the paperwork. It is not legal advice, and every item here is something to raise with whoever writes your contracts.

One: IP assignment, vesting on creation

The most common gap, and the one with the worst failure mode.

An NDA covers secrecy: what the vendor learns, they will not disclose. It does not say who owns what the vendor creates. Without a separate assignment clause, ownership of work product can be unclear, and the time you discover that is when you want to move to a different vendor or sell the company.

What to ask for: assignment of all work product to you, vesting automatically on creation rather than on payment or on a later act. Assignment on payment sounds equivalent and creates a window where a payment dispute becomes an ownership dispute.

The nuance worth negotiating honestly. A vendor who works this way has reusable components, and asking them to assign those to you exclusively is asking them to give up their platform. The workable shape is that you own the deliverable and anything specific to your business, and the vendor keeps ownership of pre-existing and general-purpose components while granting you a broad, perpetual, irrevocable licence to use them in the delivered system. Get the licence scope right and this is fine. Leave it vague and you have a dependency you cannot replace.

Two: scoped repository access

Access to the repositories the work touches, not to your organization.

This gets skipped because organization-wide access is one click and per-repository access is a conversation. The conversation is worth having: an embedded engagement often involves people you have not met, at a company you are evaluating, and least privilege is the entire defence.

What to ask for: named individuals rather than a shared account, access limited to named repositories, and a review of that list at a stated interval.

Three: production access as a named exception

Default to no production access. Where the work genuinely requires it, make it an exception with four properties: named individuals, a stated reason, an audit trail of what was accessed, and an end date.

This matters more when a model is writing the code. Generated code is not secure by default, so the review gate before anything reaches production carries more weight rather than less. Worth noting how Palantir handles it for its own agent: the AI FDE documentation states that all operations respect existing user permissions and that context starts minimal and expands deliberately. Inheriting a person's permissions rather than running on a broad service account is the right pattern for humans and agents alike.

Security and access for embedded engineers covers the operational side.

Four: the production date

A date on which the defined system is running in production for real users. Not a design delivery date, not a pilot date, not a go-live target in a slide.

This is the outcome most embedded engagements should be priced against, because it is observable and neither party can reinterpret it. Outcome-based pricing covers how to write it, including the customer-side obligations that have to accompany it.

Five: the handover date and artefact

A separate, later date on which the vendor stops operating the system, plus a definition of what handover means.

Specify the artefact. A runbook covering deployment, rollback, alerts and credential rotation. A test suite the inheriting team can run. The current specification. A written list of known compromises. Access transferred and verified before the vendor's access is revoked.

Specify the test. The strongest version, and the one worth insisting on: the customer's own engineer ships a real change to production unaided, through the real release path, before the vendor leaves. Make that a milestone with money attached and it will happen.

AWS named customer self-sufficiency after the engagement as a design goal of its own programme. A vendor unwilling to put a handover date in writing has told you what they are selling. Handover and exit covers the mechanics.

Six: subcontractor binding

If the vendor passes any of the work to another party, that party must be bound by the same confidentiality, IP assignment and access terms.

This is routine in an integrator engagement, where a custom development line may be delivered by a subcontractor or an offshore delivery centre. It is not automatic: your agreement with the vendor does not bind a third party unless the vendor is required to flow the terms down.

Ask directly: who writes the code, by team and location, who employs them, and are they bound by these terms. FDE vs systems integrator covers where this risk concentrates.

Three more worth adding

Data handling. What data leaves your environment, if any, and where it goes. For an AI engagement, whether your data or code is used to train anything, stated explicitly rather than left to a general confidentiality clause.

Personnel continuity. The named engineers, and what happens if the vendor replaces them. Continuity matters more here than in most engagements because so much of the value is accumulated context.

What happens if the date slips for a customer-side reason. The honest version is that the date moves by the delay. Agreeing that in advance is cheaper than negotiating it under pressure, and it is the term that makes a vendor comfortable carrying outcome risk.

The short version

If you read one thing: an NDA is not an IP assignment, organization-wide access is not least privilege, and a production date without a handover date is a subscription. Those three sentences cover most of the damage done by contracts in this space.

Best for

  • Preparing the paperwork before an outside engineer gets repository access
  • Reviewing a vendor's standard agreement for the gaps that matter here
  • Negotiating IP terms with a vendor who has reusable components

Avoid if

  • You need the pricing structure rather than the contract terms

Verify before you commit

  • Confirm a separate IP assignment clause exists and vests on creation, not on payment
  • Confirm repository access is scoped to named repositories and named individuals
  • Confirm production access is an exception with a reason, an audit trail and an end date
  • Confirm both dates are present, and that the handover artefact is defined
  • Confirm subcontractors are bound by the same terms

Common questions

Does an NDA mean the vendor's work belongs to us?

No. An NDA covers confidentiality: what the vendor learns, they will not disclose. It does not assign ownership of what the vendor creates. IP assignment is a separate clause, and it should vest automatically on creation rather than on payment, since assignment on payment turns a payment dispute into an ownership dispute.

What repository access should an embedded engineer get?

Access to the repositories the work touches, granted to named individuals rather than a shared account, with the list reviewed at a stated interval. Organization-wide access gets used because it is one click, and least privilege is the entire defence when the people involved work for a company you are still evaluating.

Should a vendor's engineers have production access?

Default to no. Where the work genuinely requires it, make it a named exception with four properties: named individuals, a stated reason, an audit trail of what was accessed, and an end date. This matters more when a model is writing the code, because generated code is not secure by default.

How should IP be handled if the vendor has reusable components?

You own the deliverable and anything specific to your business. The vendor keeps ownership of pre-existing and general-purpose components and grants you a broad, perpetual, irrevocable licence to use them in the delivered system. Get the licence scope right and this is fine; leave it vague and you have a dependency you cannot replace.

What should the handover clause specify?

A date, an artefact and a test. The artefact is a runbook, a runnable test suite, the current specification, a list of known compromises, and transferred access verified before the vendor's own is revoked. The test is the customer's engineer shipping a real change unaided before the vendor leaves, ideally as a milestone with money attached.

Do we need a subcontractor clause?

Yes. Your agreement with a vendor does not bind a third party unless the vendor is required to flow the terms down. Ask who writes the code by team and location, who employs them, and whether they are bound by the same confidentiality, IP and access terms. This risk concentrates in integrator engagements with a custom development line.

More in Commercials

How to price forward deployed engineering

There are four ways to price embedded engineering: time and materials, fixed scope, outcome, and bundled into a licence. Each produces different behaviour, and the behaviour matters more than the rate. Billable hours pay the vendor to be slow and to keep the engagement going. Fixed scope pays them to argue about scope. Outcome pricing aligns both sides and is hard to write. When AWS announced its own forward deployed engineering organization it said the work would be structured around shared goals and business results rather than billable hours, which is a standard worth holding every vendor to.

Outcome-based pricing for embedded engineering

An outcome you cannot measure on the day of signature is a hope with a payment schedule attached. A workable outcome passes three tests: it is observable rather than inferred, somebody named takes the measurement, and neither party can move the goalposts unilaterally. The most reliable outcome for an embedded engagement is the least exciting one, which is a defined system running in production for real users by a named date. Business-metric outcomes sound better and fail more often, because neither side fully controls them.

What forward deployed engineering costs

Two compensation figures for this role are traceable to a source. Levels.fyi reports Palantir forward deployed engineer total compensation in the United States with a median of $278,000 and a range from $185,000 to $631,000, read on 8 September 2026. Across 1,000 job postings analysed by Revealera and published in November 2025, the median advertised salary was $173,816. Everything else circulating is unsourced. Load one of those two for benefits, travel and unbilled time to get your input cost, then compare it against the cost of the deployment not happening.

Measuring forward deployed engineering

Measure four things: time from contract signature to production, the share of engagements that reach production, revenue per embedded engineer over time, and what came back into the product. Do not measure utilisation. Utilisation rewards keeping engineers on accounts, which is exactly the endless engagement this model fails into. The metric that matters most to a customer is time to production, and the metric that tells you whether you have a business is revenue per engineer rising rather than staying flat.

Revenue per forward deployed engineer

Revenue per embedded engineer, tracked over time, is the single number that tells you which business you are in. It has to rise. When the platform absorbs what the field learned, each engineer covers more ground and the number climbs. If it stays flat while custom work accumulates, you are running a services shop that has not admitted it yet. The benchmark for what a rising curve looks like is the previous generation: ServiceNow's gross margin at IPO was 63.2 percent and Workday's 54.1 percent, reaching 79 and 75 percent by 2024.