Hands on a glowing holographic interface, representing an engineer embedded directly in a customer team.
A forward deployed engineer works hands-on inside the customer's systems, not from a slide deck across the table.

A forward deployed engineer (FDE) is an experienced engineer who embeds directly inside a customer’s team to build and ship a working system. The FDE uses the customer’s own data, systems, and constraints. This is the opposite of advising from the outside. The goal is a running product in production, and a customer team that can keep building without you.

A plain-English analogy

Picture two ways to fix a struggling restaurant kitchen.

The first way sends a consultant who watches for a week, then hands over a report and leaves. The kitchen still cannot cook the new menu.

The second way sends a chef who puts on an apron, stands at the stove with your staff, cooks real service every night, and does not leave until your team can run the menu alone. A forward deployed engineer is the second chef. They ship the working thing, and they leave your people more capable than they found them.

How it works

Forward deployed engineering originated at Palantir, where engineers sat inside customer sites and built directly against messy, real-world data. The model prizes three things over the traditional consulting playbook.

Principle 1 Outcomes over hours Success is a system running in production, not billable time or a finished deck.
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Principle 2 Building over advising Engineers write and ship code against real data, they do not just recommend it.
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Principle 3 Capability, not dependency The customer keeps new skills, patterns, and workflows after the team leaves.

An FDE partners with the customer’s business, engineering, and security people at the same table. They work inside the real constraints: the actual data sources, the existing systems, the governance rules. The output is not a plan for someone else to build later. The output is the thing itself.

The AI-era version

The newer version of this model is agentic-first delivery. Forward deployed engineers now work alongside AI agents across the development lifecycle. Agents handle heavy lifting at each phase while human engineers verify and guide the work through agentic loops . Vendors position this as a way to shorten delivery from months to weeks or days, though the real gain depends on the problem and the state of the customer’s data.

In June 2026 AWS launched a Forward Deployed Engineering unit backed by a 1 billion US dollar investment (about 950 million EUR at mid-2026 rates). The unit embeds small expert pods directly within customer teams to co-build and deploy AI agent systems. Reuters reported that AWS plans to send pods of about five to six engineers to customers for 45-day engagements, drawn from a unit AWS expects to grow to thousands of people.

People
Embedded FDE pod Customer engineers Business and security teams
AI layer
Purpose-built agents Semantic layer Semantic layers, knowledge graphs, or other enterprise context systems, where the engagement needs them
Outcome
Production system Runbooks and docs Customer becomes self-sufficient operator

AWS named early customers including the Allen Institute, Cox Automotive, the NBA, the NFL, Ricoh, and Southwest Airlines. Each engagement is designed to leave behind codified expertise: runbooks, documentation, and, where relevant, semantic layers or knowledge graphs the customer keeps and operates.

How it differs from traditional consulting

Traditional consultingForward deployed engineering
Main deliverableReport or slide deckRunning production system
Success metricBillable hoursWorking outcome
Where work happensOutside the customerInside the customer team
After the engagementCustomer needs more helpCustomer builds alone
Best forStrategy and analysisShipping real systems

How it connects to other concepts

Forward deployed engineering is the delivery method that turns AI agents into production value. It relies on agentic loops where a human guides and verifies agent output at each step. The end state, a system live and owned by the customer, maps directly to the practice of getting from zero to production . For the concrete AWS announcement and what it signals for enterprise teams, read the AWS forward deployed engineers news item .

Further reading

Sources