How AI Companies Are Deploying Products at Enterprise (And the Role Making It Happen)
Enterprise AI adoption has a dirty secret: most AI products don’t actually work out of the box. Companies like OpenAI, Anthropic, Cohere, and Scale AI spend millions building world-class models. But when a Fortune 500 bank or government agency buys access, the product doesn’t magically integrate into their legacy infrastructure, comply with their security requirements, or train their teams. Someone has to make that happen. And inside the fastest-growing AI companies, there’s an entire job category built around exactly this problem — one that most people in the AI industry haven’t heard of yet. Search LinkedIn for the title right now and you’ll find 1,000+ open roles paying $300K-$500K: forward deployed engineers . They’re the reason enterprise AI deployments actually succeed — and understanding what they do reveals exactly why enterprise AI is harder than anyone admits publicly.
How AI Companies Are Deploying Products at Enterprise (And the Role Making It Happen). Enterprise AI adoption has a dirty secret: most AI products don’t actually work out of the box. Companies like OpenAI, Anthropic, Cohere, and Scale AI spend millions building world-class models. But when a Fortune 500 bank or government agency buys access, the product doesn’t magically integrate into their legacy infrastructure, comply with their security requirements, or train their teams. Someone has to make that happen. And inside the fastest-growing AI companies, there’s an entire job category built around exactly this problem — one that most people in the AI industry haven’t heard of yet. Search LinkedIn for the title right now and you’ll find 1,000+ open roles paying $300K-$500K: forward deployed engineers . They’re the reason enterprise AI deploy...