In 2011, Palantir created a combined role for their solutions engineers and integration engineers. The company called this new role “forward-deployed engineers,” or FDEs, for short. An Andreessen Horowitz blog post dubbed the recasting “title arbitrage,” arguing that Palantir had created this new title to signify the important, new capabilities and powers evolving at the company. Put simply: FDEs are people who can sell AI products to businesses while also teaching AI models how to work for said businesses.
More than a decade after Palantir popularized the title, tech CEOs are betting that FDEs are the next big thing in the industry.
“Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts,” Box CEO Aaron Levie wrote in an X post. He added that FDEs are a “massive role in tech now” and “another example of the kind of highly technical work that AI is creating.”
On Tuesday, Google Cloud CEO Thomas Kurian said the company was investing in hiring more FDEs. According to The Information, a person familiar with the matter said Google would hire hundreds of these engineers to help customers adopt its business-centered AI products.
“As part of this expansion, we are investing in hiring additional Forward Deployed Engineers (FDEs) to help us scale customer AI transformation,” Kurian said in a LinkedIn post. “While having FDEs is not new for Google Cloud, the demand from customers and partners for Google enterprise AI products and Google engineers to help them embrace agent development is growing very rapidly.”
Several AI companies have also expanded their use for FDEs. This week, OpenAI launched an “OpenAI Deployment Company” with consulting and investment firms to deploy its tech to businesses—and FDEs are at the front of this initiative.
“The OpenAI Deployment Company will extend OpenAI’s ability to embed engineers specialized in frontier AI deployment, known as Forward Deployed Engineers, or FDEs, into organizations working on complex problems in demanding environments,” a statement from OpenAI said.
“These FDEs will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational infrastructure and critical workflows around it, and turn those gains into durable systems,” the statement continued.
Last week, the Wall Street Journal reported that Anthropic finalized a joint venture with private equity firms Blackstone, Goldman Sachs and Hellman & Friedman to distribute its Claude AI models to the firms’ customers.
According to one LinkedIn report, 8,500 FDE roles were created in the U.S. between 2023 and 2025. Between January and September 2025, FDE job postings saw an 800% increase. As companies move from AI experimentation to deployment, these roles are meant to help enterprises actually use the tools AI labs have created.
One current job listing for an FDE at Anthropic offers an annual salary between $200,000 and $300,000. The role requires some years of consulting work, or experience in technical, customer-facing roles. This particular listing also requires the ability to explain technical topics to customers “while maintaining a low ego and collaborative approach.”
A “forward-deployed engineer” seems to be a more embellished title for a customer-facing engineer. (One person on Reddit called the FDEs “rebranded sales positions.”)
But others argue that FDEs do more than just the work of customer-facing software engineers. One Salesforce blog post said that FDEs “can make or break” a company’s AI rollout, explaining the title as: “part personal tech guru, business consultant and hand-holder.”
Whether FDEs are a new breed of engineer or a shinier title for an old role remains contested. Either way, companies are willing to pay hundreds of thousands of dollars per role to add FDEs to their teams.
