Embed a senior Forward Deployed Engineer who works inside your team and operating environment, turning high-value AI opportunities into reliable systems your business can actually use.
Start with one embedded engineer. Scale into a focused AI pod when the work demands it.
A Forward Deployed Engineer combines product judgment, architecture, hands-on implementation, and direct customer communication in one embedded role.
Map the workflow, data, users, and constraints before selecting a model or writing production code.
Integrate with the systems your team already runs, with security, reliability, and maintainability in view.
Document the system, transfer knowledge, monitor real usage, and improve what reaches production.
These published Cidersoft projects show the kind of cross-functional ownership an FDE brings: understanding the operating problem, choosing the architecture, integrating with existing products, and carrying the work into use.
The engagement stays resource-based, but the role is selected for broader ownership and client-facing delivery.
Translate operational pain points into an implementable AI roadmap.
Design around your data, APIs, infrastructure, security, and governance needs.
Build, test, deploy, and observe the system, not just advise from the sidelines.
Leave your team with maintainable code, clear runbooks, and shared operating knowledge.
Your FDE works in short feedback loops with the people who understand the workflow and the engineers who own the surrounding stack.
FDEs are most useful when the opportunity is clear enough to matter but still requires discovery, integration, and hands-on technical judgment.
Agents that work across internal tools, apply business rules, and keep humans in the right control points.
Secure search, document intelligence, and assistants grounded in company data and permissions.
AI integrated into service, sales, finance, field operations, or other high-friction workflows.
Systems that connect fragmented data and surface useful recommendations inside existing work.
Production copilots, voice experiences, personalization, and intelligent product capabilities.
Evaluation, observability, cost controls, model routing, data pipelines, and deployment practices.
Choose the embedded shape that matches the maturity and breadth of the initiative.
A senior, client-facing builder for a focused workflow or production initiative.
Add application, data, cloud, or product expertise around the embedded technical lead.
A coordinated nearshore team for a broader roadmap or several connected workflows.
Explore how Forward Deployed Engineers contribute during Discovery and across the full project lifecycle.
Turn an early idea into a credible workflow, architecture, and production path with technical ownership from the start.
Understand the project stages, decision points, and delivery challenges where an embedded technical leader makes the difference.
We’ll help determine whether you need an FDE, a specialist engineer, or a broader delivery team, and tell you honestly when the fit is different.
