What Is a Forward Deployed Engineer and When Do You Need One
Consider a support team that wants to reduce the time spent gathering information before answering a customer. A prototype can summarise a ticket in minutes. Making that useful at work requires customer records, permission checks, current product information and a place for staff to review the result. Someone must also find out whether the new process actually helps.
An FDE follows that problem across those boundaries. The engineer works with the people doing the job, implements the necessary changes and stays close enough to see what happens after release. For a buyer, that continuity is the main reason to consider the model.
Why are companies investing in forward deployed engineering
The role has a substantial history in enterprise software. In its 2019 explanation of engineering roles at Palantir, the company describes forward deployed engineers as adapting its platforms to customer problems and measuring their work against customer goals. Some of that work also feeds back into the core product.
There is a visible increase in investment in the role. In June 2026, AWS announced a dedicated FDE organisation backed by a $1 billion investment. In October 2026, Atlassian reported that its FDEs had worked with more than 100 enterprise customers and put over 80 AI agents into production.
These are company announcements, rather than independent evidence that an FDE will improve every project. They do show that major technology suppliers are investing in people who work inside customer environments, alongside their investment in software.
For a technology leader, the useful question is what your organisation needs to learn and deliver. If the remaining work is mostly understanding exceptions, connecting systems and helping people adopt a changed process, an embedded engineer may address a real constraint. If a product already solves the problem with standard configuration, you may need implementation support instead.
What does a forward deployed engineer actually do
The work starts with observing a process closely enough to identify where it breaks. A request to automate reporting might conceal a data-quality problem. A request for an AI assistant might really concern slow approvals. The engineer needs access to business users so that these distinctions influence the design before significant implementation begins.
Next comes a narrow version that can be tested with representative inputs. The FDE might connect an existing application to a model API, add retrieval over approved documents, or build a workflow that drafts a response for a person to approve. The implementation should fit the client’s systems and the consequences of a mistake.
Release adds another set of responsibilities. Someone must define who can use the system, who receives failures and how the team returns to the previous process. After release, the FDE examines corrections and usage with the process owner. Those observations guide the next change and help determine whether further investment is justified.
| Responsibility | What a buyer should be able to see |
|---|---|
| Problem discovery | A defined workflow and named business owner |
| Solution design | Documented choices and constraints |
| Implementation | Reviewed changes in the agreed repositories and systems |
| Evaluation | Representative test cases and acceptance criteria |
| Production operation | Monitoring, escalation and recovery instructions |
| Outcome review | Evidence against the original business baseline |
The role can span this work without giving one person authority over every decision. Security approval, business acceptance and spending authority still belong to the appropriate client owners.
How is the role different from other engineering roles
An AI engineer may specialise in model evaluation, retrieval, data pipelines or an application that uses language models. An FDE is defined more by the relationship to the customer and the scope of responsibility. The two roles can overlap, and an FDE still needs sufficient technical depth for the assignment.
A solutions architect usually concentrates on design and technical direction, although some architects also implement. A consultant may provide advice, build software or do both. Titles vary between suppliers, so a proposal should specify the work and the decisions the person will own.
Staff augmentation is often appropriate when your team already has a clear delivery plan and needs additional expertise or capacity. An FDE engagement gives the engineer a broader mandate to investigate and shape a business outcome. A senior augmented engineer can also operate this way if the agreement supports it. The contract and working relationship matter more than the label.
When is an FDE a good fit for your organisation
Look for a workflow with a recognisable owner, enough activity to assess performance and a problem that crosses organisational or technical boundaries. A customer-service process involving a CRM, an internal knowledge base and a support queue is one example. A finance team reconciling documents from several systems is another possible candidate.
These are example situations, not claims that a particular workflow should be automated. The discovery work must establish whether the data, permissions and review capacity make the use case practical.
An FDE becomes especially useful when your team can describe the desired improvement but cannot yet write a reliable implementation specification. Access to users allows the engineer to test assumptions while building. That access should be planned into the engagement rather than left to informal introductions.
There are also clear reasons to choose another arrangement. A well-defined application build may suit a project team. A specialist data issue may require a data engineer. A persistent lack of budget authority or access approval will remain a constraint even if you hire an excellent FDE.
What should you agree before the engineer starts
Write a short engagement brief that names the workflow, the desired change and the people authorised to make decisions. Describe the current process using evidence you can revisit later, such as handling time, error rates or the number of cases waiting for review.
Then agree the practical working conditions. The engineer needs an approved access path, a repository for changes and predictable time with relevant users. The client needs to know how work is reviewed, what support is included and how new requests affect the original scope.
One particularly useful question is who operates the system when the FDE is unavailable. The answer determines whether you need an internal maintainer, separate support coverage or a narrower release. A part-time engineer can own a delivery plan without being available continuously for incidents.
Ask for a concrete first milestone. That could be an approved evaluation set or a restricted release of one workflow, depending on readiness. Avoid treating a proposed date as a delivery guarantee before access and dependencies have been checked.
How should success be measured
Start with the business process. If the goal is quicker support preparation, measure the time people spend preparing and reviewing an answer, including corrections. Also examine whether response quality and escalation rates remain acceptable. Counting generated summaries alone will tell you little about the result.
Engineering measures explain the operational cost of achieving that result. Monitor failures, response time and ongoing service costs. Keep these alongside the business measures so that an apparent time saving does not hide increased manual recovery work.
Knowledge transfer deserves its own evidence. An internal colleague should be able to explain the main design choices, run the agreed checks and follow the recovery procedure. Documentation is useful when someone can use it to do the work.
Also ask what becomes reusable. A maintained connector or evaluation harness can reduce repeated engineering effort, while customer-specific data and rules stay separate. Agree who owns these components and how the client can maintain the implementation. Otherwise, a series of quick releases can become a growing collection of unrelated systems.
How Rollout IT approaches the role
Rollout IT offers FDE engagements with an engineer embedded in the client’s team, including part-time arrangements and knowledge transfer. The practical starting point is a business workflow with a clear owner and a way to assess improvement.
Bring one stalled initiative to an initial conversation. Describe what should change, the systems involved and the people who would use the result. That gives both sides a basis for assessing the expertise, working rhythm and scope the initiative requires.
Frequently asked questions
Does a forward deployed engineer have to work on site
No. Close collaboration can happen remotely or through a hybrid arrangement. The important conditions are access to users, timely decisions and enough shared context to implement the workflow correctly. Some discovery or operational work may still benefit from time on site.
Can a forward deployed engineer work part time
Yes, when the scope and availability expectations fit the allocated time. Agree when the engineer is available, how decisions are handled between sessions and who covers production incidents. A part-time engagement needs a deliberately limited amount of concurrent work.
Does every AI project need an FDE
No. Standard software configuration, a clearly specified build or a specialist technical task may suit another delivery model. Consider an FDE when business discovery and implementation need to stay closely connected throughout the work.
What should an FDE leave with the client
The agreed implementation, evidence of its performance and the information required to operate it. Depending on the work, that includes source code, configuration, evaluation cases and recovery instructions. Confirm ownership and maintenance responsibilities in the engagement agreement.
Sources
Palantir | Dev versus Delta | 8 April 2019
AWS Partner Network | Introducing Forward Deployed Engineering for Partners | 30 June 2026
Atlassian | Meet the Forward Deployed Engineer | 7 October 2026