AI Giants Bet Billions On The Most Expensive Job In Enterprise
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InnovationCloudAI Giants Bet Billions On The Most Expensive Job In EnterpriseByJanakiram MSV,Senior Contributor.Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AIFollow AuthorMay 28, 2026, 12:10am EDT--:-- / --:--This voice experience is generated by AI. Learn more.This voice experience is generated by AI. Learn more.WorkspacePixabayMeta is reportedly launching a new Enterprise Solutions unit that will embed engineers and product managers inside corporate customers to push them toward its AI tools, according to The Information. The unit, led by head of product Naomi Gleit, is the latest sign that the most expensive job in enterprise AI is no longer the researcher building frontier models but the engineer flying to a customer site to make those models work.The move makes Meta the latest major AI company in a 13-week run of deployment-heavy enterprise announcements. OpenAI announced its Frontier Alliances on February 23, pairing its Forward Deployed Engineering team with McKinsey, Boston Consulting Group, Accenture and Capgemini. On May 4, Anthropic announced a joint venture, reportedly valued at more than $1.5 billion, with Blackstone, Hellman & Friedman and Goldman Sachs that embeds its engineering resources inside a standalone enterprise services firm. One week later, OpenAI announced The OpenAI Deployment Company, capitalized at more than $4 billion and led by TPG with Advent, Bain Capital and Brookfield as co-lead founding partners, and acquired Edinburgh-based Tomoro for its roughly 150 deployment engineers. The two ventures together put about $5.5 billion behind AI deployment and enterprise services.The Forward Deployed Engineer, or FDE, is a senior software engineer who sits inside a customer’s environment, learns its data and politics and ships production code against the mess that legacy IT systems present. Palantir pioneered the title more than a decade ago and called...


