Choose an FDE when…
The customer problem is ambiguous; solving it requires writing or operating production code; the environment changes the technical design; and field learning should improve a reusable product or deployment system.
The FDE market map: companies, verified roles, and specialist search.
Employer role-design guide
Choose among Forward Deployed Engineering, Solutions Engineering, Implementation Engineering, Applied AI Engineering, and deployment leadership by the work—not the fashionable title.
01 · Fast answer
The best first question is not “How customer-facing is this role?” It is “Who owns the production outcome after the customer says yes?”
The customer problem is ambiguous; solving it requires writing or operating production code; the environment changes the technical design; and field learning should improve a reusable product or deployment system.
The central outcome is evaluation and technical design before purchase, while another team owns durable production implementation.
The product is sold, the target state is understood, and success comes from reliable configuration, integration, migration, training, and handoff.
The primary owner is a reusable model, agent, evaluation system, or AI product capability—not an end-to-end customer deployment.
If one person must coordinate discovery, executives, domain teams, governance, rollout, adoption, and delivery risk while engineers own most production code, the role may be a Technical Deployment Lead paired with FDEs—not one impossible requisition.
02 · Decision matrix
The matrix scrolls horizontally on small screens.
| Role pattern | Primary outcome | Production-code ownership | Customer phase | Evidence of success |
|---|---|---|---|---|
| Forward Deployed Engineer | A consequential customer workflow works in production and creates reusable learning. | Direct: designs, writes, deploys, and often operates code across the needed stack. | Discovery through rollout and adoption. | Adoption, stable production behavior, workflow impact, and reusable product or tooling improvements. |
| Solutions Engineer | A buyer can evaluate the product and commit to a viable technical approach. | Usually demos, prototypes, examples, or integration designs; durable ownership sits elsewhere. | Discovery, evaluation, proof, and technical close. | Sound evaluation, realistic commitments, successful proof, and clean handoff. |
| Implementation Engineer | A sold solution is integrated, launched, and handed over reliably. | Varies within a repeatable delivery boundary. | Post-sale delivery with explicit milestones and handoff. | Launch quality, scope control, customer readiness, and supportable handoff. |
| Applied AI Engineer | A reusable AI capability, evaluation system, or product feature improves. | Direct, commonly inside the core product or applied research stack. | May work with design partners, but customer delivery is not always the durable unit. | Evaluation quality, reliability, product adoption, and reusable platform capability. |
| Technical Deployment Lead | A multi-stakeholder deployment reaches an operational outcome with risks controlled. | Technically credible and may contribute code, but coordinates more than owns every layer. | Executive and working-team alignment from scope through adoption. | Decision velocity, milestone quality, adoption, risk resolution, and outcome delivery. |
03 · Six dimensions
Is the durable unit a closed deal, completed implementation, production workflow, reusable AI capability, or adopted program?
Who writes, reviews, operates, and carries failure risk for production code after the first demonstration?
Does ownership peak before sale, after sale, across the lifecycle, or primarily inside the product team?
Is the target state known, or must the person discover the problem and negotiate success?
Do customer data, infrastructure, regulation, security, legacy systems, or domain workflows materially change the solution?
Who turns one deployment’s learning into product changes, tools, patterns, documentation, or a repeatable delivery system?
04 · Six-month outcome
A defensible role brief can complete this sentence without relying on the title.
Within six months, this person will have [deployed or changed what] for [which user or customer] inside [which technical and organizational constraints], demonstrated by [observable evidence], while turning the work into [reusable product, tooling, or operating leverage].
WHY NOW What customer, product, revenue, or operational constraint makes this role necessary? SIX-MONTH OUTCOME What must work in production, for whom, and what evidence will show it? OWNERSHIP BOUNDARY Discovery / technical scope / system design / production code / operation / adoption / product feedback CONSTRAINTS Customer systems and data / security / regulation / location / travel / domain knowledge HIRING EVIDENCE Three must-have signals / acceptable adjacent evidence / unknowns the interview must resolve
05 · Sources and limits
This is an editorial operating framework—not a validated occupational taxonomy or legal classification.
Employer role calibration
Bring the live job, the six-month outcome, and the hardest unresolved boundary.