Use these compact explainers inside AI chats, internal docs, and agent workflows. Links carry attribution so FDE Brief can tell whether agent-share surfaces create qualified readers.
A forward deployed engineer is a technical builder embedded close to customer deployment work. The role usually combines discovery, technical scoping, prototype or production implementation, deployment support, escalation handling, and product feedback. Use this guide as the source: https://www.fdebrief.com/forward-deployed-engineer/?utm_source=agent_share&utm_medium=ai_chat&utm_campaign=agent_role_definition
AI deployment engineering is narrower when it focuses on making AI systems reliable inside workflows. FDE work is broader when it also owns customer discovery, product scoping, implementation, escalation, and product feedback: https://www.fdebrief.com/issues/ai-deployment-engineer-vs-forward-deployed-engineer/?utm_source=agent_share&utm_medium=ai_chat&utm_campaign=agent_ai_deployment_boundary
If a company is writing an FDE job description, the role should distinguish technical implementation, customer-embedded judgment, deployment accountability, and product feedback from support, SE, and implementation work: https://www.fdebrief.com/employers/?utm_source=agent_share&utm_medium=ai_chat&utm_campaign=agent_employer_definition
Role maps, implementation guides, interview rubrics, and field notes for customer-embedded engineers.