In a piece published September 12, 2026 by Latent Space, Vinoo Ganesh, CEO and co-founder of Kepler and formerly of Palantir and Citadel, describes the rise of the Forward Deployed Engineer (FDE) and how the job should be done. Ganesh writes that labs, startups and private equity firms are hiring engineers to sit inside their customers' operations and solve problems, but that 'almost none of them agree on what those engineers are supposed to accomplish, or what the strategy underneath the hiring actually is.' Ganesh says he has built the forward-deployed function three times over more than a decade. At Palantir, he started in product development building storage and retrieval systems before being deployed as an FDE across commercial, DoD and national security, healthcare, and oil and gas. He also led Project Frontline, a rotation program that trained software engineers into FDEs; he states around 250 people went through it, many of whom now run forward-deployed teams at companies including OpenAI, Anthropic, xAI and Anduril. He later ran business engineering at Citadel, where the customers were portfolio managers. The article, written by a founder of a company in the space, outlines what he has seen work and fail in the role.
- Author Vinoo Ganesh led Spark at Palantir and built Project Frontline; ~250 people went through the program
- Published by Latent Space on September 12, 2026
- Program alumni now run forward-deployed teams at OpenAI, Anthropic, xAI and Anduril, per the author
What it means for you
A 'Forward Deployed Engineer' is a technical person a vendor embeds inside your business to make their software actually work for your situation, rather than handing you a login and walking away. This article is one experienced insider explaining how that role should function. For most small businesses, it's context about how AI vendors are staffing up to hold customers' hands during setup.
Try this
If you're evaluating an AI vendor, ask directly whether they provide an embedded engineer or implementation specialist during onboarding, and what specifically that person is accountable for delivering.
Who should care
People hiring for or working in AI implementation roles, and businesses buying complex AI software that requires heavy customization to fit their operations.
Skip this if
You're not building an AI team or buying enterprise-grade AI tooling that comes with a deployment team — this is an industry-insider career and staffing piece with little day-to-day relevance to a typical small business.
Sources: Latent Space — read the original