One of the fastest-growing jobs in Silicon Valley sends engineers straight to customers’ offices to get AI up and running—and pays more than $188,000

Forget building AI from a Silicon Valley office . One of tech’s fastest growing jobs is sending workers directly to customers to configure AI tools, integrate software, and solve complex business problems. Job postings for “forward-deployed” engineers rose more than 1000% between January and August 2026, compared to the same period last year—and more than 4,600% compared to 2023, according to Lightcast data. That far outpaces the broader tech job market, where postings grew 13% year over year. Similar growth has been reported on LinkedIn and Indeed, according to The New York Times . The concept isn’t entirely new. Palantir has long been known for its forward-deployed model, in which technical employees work closely with customers to build and implement software in the field. Candidates have the opportunity to apply for client-specific opportunities, including major corporations like Intel , defense organizations like NATO , and governments like Norway. “As an FDSE, your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects,” a Palantir job listing said . “Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.” That hands-on approach has become a defining part of Palantir’s business model—and one the company credits with helping it compete against much larger technology companies. “We hired the best software engineers in the world, ejected them from the comfort of a Palo Alto office, and dropped them in remote locations to spend their days in the service of incredibly skilled but non-technical operators,” Meline von Brentano, Palantir’s head of digital transformation strategy, wrote in a blog post last month. “In the process, we beat out much better resourced companies in the race for the best talent.” And by many metrics, it’s been successful. Others, ranging from established giants like Nvidia to startup unicorns like Scale AI , have also adopted the “forward-deployed” model for other job categories, too, including in product management and tech architecture. The bigger differentiator is being able to connect that technical knowledge to a business problem,” Farnsworth said. “Can you walk into an ambiguous situation, understand how a workflow actually operates, communicate with technical and nontechnical stakeholders and build something that creates a measurable result?” Workers already in tech can build that expertise in their current roles by finding opportunities to put AI into real business processes. “I’d also encourage tech professionals to look for opportunities in their current roles to deploy AI into real workflows and document the impact—whether that’s revenue generated, time saved, errors reduced or a process improved,” Farnsworth added. “Focusing there will help those looking for forward-deployed roles be competitive and land the job.”