What is a forward deployed engineer?
A forward deployed engineer (FDE) is a software engineer who works directly with a customer to make a product work inside that customer's systems. Today that mostly means AI: taking an agent or model from a demo to production on the customer's data, tools and security rules. The title comes from Palantir, and AI companies such as OpenAI and Anthropic now hire for it at scale.
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FDEs (forward deployed engineers) build AI agents inside real companies. FDE Info is a free weekly email on how they work and how to become one.
Looking for an FDE role? Browse open jobsWhat FDEs do all week
Find the real problem
Sit with the customer's team, learn how the work is actually done, and turn a vague "we want AI" into one workflow worth automating.
Build the agent
Prompts, tools, evals and the glue code around the model. Often with Claude Code or a similar coding agent doing a lot of the typing.
Connect it to their systems
APIs, databases, internal tools, SSO and permissions. MCP servers are now a common way to give the agent safe access.
Debug it in their environment
The customer's data is messier than the demo's. Most of the job is making the thing work on their infrastructure, not yours.
Get it through review
Security, compliance and the people who will use it every day. An FDE answers their questions and fixes what they find.
Feed it back to product
What broke at the customer becomes a feature request or a fix in the core product, so the next deployment is easier.
FDE vs software engineer vs solutions engineer
| Forward deployed engineer | Software engineer | Solutions engineer | |
|---|---|---|---|
| Works with | One customer at a time, on site or close to it | The product team | Many prospects, before the sale |
| Writes code | Yes, production code in the customer's stack | Yes, in the company's own codebase | Demos and proofs of concept |
| Measured on | The deployment working and being used | Features shipped | Deals closed |
| Typical tools | Coding agents, MCP, the customer's systems | The team's stack | Slides, demo environments |
The skills, and where to practise them
Most of what an FDE ships today is agent work: wiring a model into real tools, making it reliable, and getting it past a customer's review. Every one of these has a page on this site.
What forward deployed engineers earn
Midpoint of the posted range across 579 US-dollar listings on Top FDE Jobs, October 27, 2026. Base pay only; equity is not included. See FDE salaries by company and level
Who is hiring FDEs
Palantir91 open roles
OpenAI75 open roles
Databricks55 open rolesScale AI26 open roles
Sierra26 open roles
LangChain25 open roles
Deloitte22 open roles
Anthropic22 open roles
Axon20 open rolesCognition18 open roles
Decagon12 open roles
Shield AI11 open roles
Which customers do these roles serve? Defense, government and finance lead. See FDE roles by industry on FDE Info
Forward Deployed EngineerRain · New York, NY · on-site$175k-$210k
Forward Deployed EngineerEon.io · San Francisco, CA · on-site
Forward Deployed EngineerAssort Health · San Francisco, CA; New York, NY · hybrid$155k-$210kForward Deployed Engineer - SingaporeRoboflow · Singapore · remote
Senior Forward Deployed Engineer (Technical Data Architect)Databricks · London, United Kingdom · hybrid
Forward Deployed Engineering ManagerDatabricks · London, United Kingdom · hybridForward Deployed Engineer (FDE) - AI InfraOpenAI · San Francisco · hybrid$185k-$300k
Forward Deployed Data EngineerLunon · United States · remote$160k-$210k
How to become a forward deployed engineer
- 1
Get very good at building with AI
Ship real things with coding agents, MCP and evals, not just chat. The skills section above is a good checklist.
- 2
Build something for a real user
An internal tool for a team, a small client project, an open source integration. FDE hiring managers look for proof you made something work for someone else.
- 3
Practise the customer side
Explaining trade-offs, scoping, saying no. Write up what you built and why, the way you would for a customer.
- 4
Prepare for the FDE interview
Expect a practical build, a customer role-play and system design. FDE interview questions
- 5
Follow the field every week
Tools, deployment stories and hiring news for FDEs, in one free email. Subscribe to FDE Info
Frequently asked questions
What does a forward deployed engineer do?
A forward deployed engineer works directly with a customer to make a product work inside that customer's systems. In AI companies this usually means building and deploying agents on the customer's own data and tools, then fixing whatever breaks in their environment.
How much does a forward deployed engineer make?
Across 579 US-dollar job postings on Top FDE Jobs (October 27, 2026), the median posted base pay is about $203k a year, and the top 10% of postings start at about $285k. Equity is not included.
Which companies hire forward deployed engineers?
Palantir, where the title started, is still the largest. OpenAI, Databricks, Anthropic, Scale AI and many AI startups also hire FDEs. Top FDE Jobs currently lists 982 open roles at 322 companies.
Is a forward deployed engineer the same as a solutions engineer?
No. A solutions engineer mostly works before the sale, on demos and proofs of concept. A forward deployed engineer works after it, writing production code in the customer's stack until the deployment is live and used.
Do I need a computer science degree to become an FDE?
Job postings mostly ask for proven engineering experience and customer-facing skills. Shipped projects that work for real users matter more than the degree itself.
Are forward deployed engineer jobs remote?
Some are. About 15% of current postings on Top FDE Jobs are fully remote; most are hybrid or on site, because the job involves time with customers.