Forward Deployed Engineer

A Forward Deployed Engineer (FDE), or an engineer working in a client’s environment, understands a specific problem, then designs and delivers a software solution adapted to that client's data, systems and ways of working. They work with people on the ground and technical teams to make a product work in a real environment. Their contribution runs from clarifying the need through to deployment, with useful feedback for product and engineering teams.

The role takes different forms. At a software vendor, the engineer may adapt its platform to a particular use case. At a services company, they may build an application or an integration flow connected to the client's infrastructure. The common thread is technical responsibility for delivering a usable solution, then explaining what works and what is blocking progress. The work may include code, interfaces, APIs, data, testing and putting the solution into production. The level of decision-making depends on the position: a junior role may involve work under supervision, while others entrust the engineer with delivery from start to finish.

“Deployed” describes proximity to the client's context. It does not, by itself, mean that every assignment requires a permanent physical presence. Access to users, the relevant systems and the teams that will operate the solution matters more than the location implied by the job title. The vacancies reviewed cover data platforms and applied AI, but this specialism is not a universal prerequisite.

Forward Deployed Engineer, AI Engineer and technical presales: who does what?

• Forward Deployed Engineer: defines the problem with the client, builds and integrates the solution, then gathers feedback from its deployment.
• AI Engineer: their main work may involve engineering AI systems themselves, while the FDE here focuses on delivery in the client's own environment. Job titles vary by employer; the AI Engineer job profile explores this related role in more detail.
• Technical presales: a demonstration may inform a purchase, but it does not replace responsibility for building and deploying as described for this role. Commercial account management also falls within a different remit.

This distinction helps define the position; it does not prescribe the same organisation for every employer. Specify who makes architecture decisions, who approves the launch and who takes over the solution afterwards.

A product that looks convincing in a demonstration may face obstacles once connected to a client's data and processes. Hiring a Forward Deployed Engineer addresses this gap between the product and its use: starting from a real use case, building the necessary integration, testing the solution in its environment and reporting the limitations encountered. Define the expected outcome of the role in terms of technical deliverables and conditions for putting the solution into service, rather than simply the number of client meetings.

Hypothetical example: a client wants to use an application drawing on several data sources. The engineer maps the available interfaces, spots a format mismatch, builds an integration and has the relevant users test a workflow. This illustrates one possible approach; it describes neither a GetPro client nor an outcome observed by GetPro.

Before opening the position, decide what level of autonomy it requires. A junior engineer can contribute to deployments, testing and documentation with support from experienced engineers. For a project where the scope and architecture have yet to be defined, the ability to make trade-offs and deliver from start to finish becomes decisive. Conflating these expectations risks leaving a role without enough supervision or, conversely, making it too narrow for the need.

Also define how responsibility is shared with product teams and the client's teams. The engineer can turn recurring difficulties into structured feedback and reusable components. But not every individual request should become a feature of the shared product. A decision-making process helps distinguish a local adaptation from a reusable improvement.

Finally, plan what happens after deployment. Testing, documentation and handover to those who will operate the solution reduce uncertainty about its continuity. These are criteria to define for your organisation, rather than a promise automatically attached to the job title.

• Clarify the problem to solve and the constraints of the client environment with the client’s teams.
• Turn the need into a technical plan and define a first deliverable that can be tested.
• Design and develop the interfaces, APIs or data processing needed for the solution.
• Integrate the product with the client’s systems, data and workflows.
• Test how it works with users and resolve the difficulties observed.
• Put the solution into service and document what is needed for others to take it over.
• Pass recurring limitations and potentially reusable components on to product teams.

A background in computer science, software engineering, mathematics or data science can provide useful foundations. The vacancies reviewed mention several of these paths, but they do not show that a single degree is required to enter the profession. When hiring, look above all at what the person has designed, programmed, integrated and delivered, and how they explain their decisions.

A software development project offers initial evidence if it shows the original problem, architecture decisions, maintainable code and testing. Experience deploying for a client provides further evidence: the person has had to work with APIs, data or workflows they did not fully understand at the outset. Ask what they discovered on site and how they adapted the solution. A personal project or internship can also demonstrate these abilities, depending on the level sought.

Years of experience are no substitute for examining the responsibilities actually held. A candidate who has written a great deal of code internally may need support to define a problem with users. Conversely, someone used to delivering in client environments may already be effective in that part of the role without knowing the employer's product.

For an AI-related position, examine relevant deployments: integrating model-based applications, data quality and checking performance in real use. In another context, these examples do not become prerequisites. The background sought follows from the product to be deployed, the systems to be integrated and the autonomy the team can support.

A structured assessment starts with a set of criteria and a way to assess each one. Interviews use open questions and concrete examples; references are checked with the candidate's consent. For this role, the situations below are guidance to adapt to the autonomy expected, the technical constraints and the deployments the person will lead.

1. Define the criteria for the role

Draw up a short list: understanding a client need, software design, integration with existing systems, testing in the target environment and communication. Specify what matters for each criterion in your context. For example, a team integrating sensitive data may give more weight to access decisions and validation. Distinguish skills needed when starting the role from those that can be learned with the team.

2. Examine a past delivery

Ask the candidate to describe software made available to real users. Have them explain the original need, their contribution to the code, the interfaces or data integrated and what checks they carried out when the solution was put into service. A positive sign is a precise account of decisions and difficulties encountered. A warning sign is being unable to distinguish their own work from the team's or describe what was actually delivered. For a junior candidate, accept a smaller project and look for sound reasoning and the quality of their work with support.

3. Set a case close to the role

Present a deliberately incomplete client need alongside the relevant technical constraints. Ask what questions they would put to users, which data and APIs they would examine, what first increment they would deliver and how they would test it. Observe the order of their checks and how they justify trade-offs. The candidate can make assumptions, but must distinguish them from the facts provided. A sophisticated solution that ignores the real environment is a warning sign. A choice of programming language alone is not enough to distinguish candidates.

4. Observe collaboration and decisions

Invite the candidate to explain a technical decision to two people: an engineer and a non-technical user. They should make the choice understandable, listen to an objection and specify the checks needed before delivery. For an autonomous role, ask how they would flag a client request that could not be generalised to the product. A good discussion connects feedback from the client environment to an explicit decision without promising a feature the product team has not approved.

5. Check references and technical judgement

With the candidate's consent, speak to someone who worked with them on a comparable delivery. Seek specific examples, anchored in time, of diagnosis, collaboration and incident resolution, rather than a general opinion detached from the work. If your company lacks the expertise to assess code or architecture, involve a qualified engineer at this stage and in the practical case. Finish by comparing the observations with your original criteria. A favourable reference cannot make up for technical responsibility that no one has assessed.