Forward Deployed Engineering

The field guide to making AI work inside real organizations.

Forward Deployed Engineers turn AI models into working business systems: they connect data, tools, permissions, workflows, evaluation, and adoption.

FDE.company 是面向 AI 落地工程师、企业 AI 团队和技术管理者的资源入口。

Start with FDE View the skill map
A map of AI models connected to APIs, data, workflow, and adoption

Why Now

AI capability is no longer the whole bottleneck.

The hard part is deployment: connecting models to business systems, data governance, operating rituals, monitoring, and the people who must trust the output.

Systems From demo to production

FDEs turn promising prototypes into reliable workflows people can use every day.

Context Engineering at the customer edge

They work close to frontline teams, constraints, data access, and business decisions.

Adoption Make AI useful, not just impressive

The outcome is not a better prompt. It is a production capability the organization can depend on.

Explore

Core pages for the first version.

01 What Is a Forward Deployed Engineer?

The role, workflow, and how it differs from software engineering, solutions architecture, and consulting.

 02 The FDE Skill Map

A practical capability map covering AI, integration, data, agents, evaluation, and customer work.

 03 Companies and Role Patterns

How FDE, Applied AI Engineer, AI Solutions Architect, and deployment teams fit together.

 04 The FDE Toolkit

Models, APIs, agents, retrieval, workflow automation, monitoring, and delivery tools.
FDEs sit where AI capability meets real business operations.