Forward Deployed

Forward Deployed describes a way of working where AI company engineers do their jobs on-site at a client's company instead of at their own office desks. It's similar to how, when you buy a new appliance, an installer comes to your home and hooks it up to match your existing wiring and outlets. No matter how good an AI model is, every company has its own systems, its own way of storing data, and its own workflows, so the model can't just be plugged in and used right away. Forward deployed engineers are the ones who close that gap.

They aren't the people building new AI models — they're the ones who take models that already exist and actually get them embedded and running inside a company. They're often nearly stationed at the client's site, working in small teams alongside the client's non-technical staff to solve problems all the way through.

This approach traces back to a business model Palantir has used for a long time. More recently, companies like Microsoft AI, Meta AI, Google DeepMind, OpenAI, and Anthropic have all started hiring for roles with the same name.

In articles, you'll see phrasing like "job postings for forward deployed engineers have jumped more than 1000%." The tricky part here is that this role isn't a research position that builds AI models from scratch. It's closer to on-site integration work — taking a model that's already built and fitting it to a specific company's data and workflows.