Forward-Deployed Engineer Job Description

What "Forward-Deployed Engineer" means

A Forward-Deployed Engineer (FDE) is an engineer who works inside enterprise customer environments rather than on the company's internal codebase. The term was pioneered by Palantir and has been adopted across the AI industry — OpenAI, Anthropic, Scale AI, Cohere, and most AI companies selling to enterprise now hire for this role.

The job combines deep technical engineering with direct client engagement. You take an AI product and make it work inside a specific customer's infrastructure — integrating with their data, their existing systems, their compliance requirements, and their workflows. You own whether the deployment succeeds, not just whether the code compiles. Across 179 active listings, FDE roles command the highest base salaries in AI engineering, reflecting both the technical depth and the client-facing accountability.

Required skills

Frequency = % of 179 active listings that mention this skill. Priority is derived from frequency and listing emphasis.

Day-to-day responsibilities

• 1Embed with enterprise customers — on-site or in extended remote sessions — to understand their systems, data, and workflows
• 2Build custom integrations connecting AI products to customer infrastructure: their databases, APIs, authentication systems, and data formats
• 3Run evals against customer-specific data to validate performance before and after deployment
• 4Debug production failures in customer environments — often with limited access and under time pressure
• 5Present technical results and deployment status to non-technical stakeholders including executives and compliance officers
• 6Own the technical success of each customer deployment; serve as the bridge between the product team and the customer
• 7Write documentation and handoff materials so customers can operate the system independently after deployment

How it differs from related roles