Transcription
One of the fastest growing jobs in tech right now is forward deployed engineer. Let's see what it is with one example.
Let's say a big insurance company buys an AI product to speed up claims processing. They run a pilot on their infrastructure and it fails miserably. And you'll be surprised to know this is extremely common. MIT researchers estimated that 95% of the organizations they studied saw no measurable return from their generative AI projects. And the problem usually isn't the AI model's capability. The problem is that the AI product doesn't fit the company's real data and real workflows.
If you look at a single insurance claim, it's a PDF from the repair shop, a scanned police report with handwritten notes, and photos of a dented bumper. And all this data is spread across four different systems. And one of them looks like it was built when Windows XP was new. The fact is that no AI product will work on this out of the box.
So instead of sending a salesperson to apologize, the AI company sends a forward deployed engineer to embed with the insurance company's team. And the first thing the forward deployed engineer does is not writing code. The engineer sits next to a claims adjuster, watches him work, and finds that the adjuster spends half his day finding and retyping information that already exists in another system. That's the problem worth solving.
Then the engineer builds a pipeline that reads every document in a claim and drafts the summary the adjuster used to type by hand. To prove it actually works, the engineer sits with the senior adjusters and builds a test bank. 200 real claims with the correct answers. So every improvement gets graded against real data.
And before leaving, the engineer co-develops the system with the insurance company's own developers. So the system keeps running after the engagement ends, live inside the customer's approved environment, where the sensitive data stays within their security boundary. The most important thing for the AI company is that this engineer sends that pattern back to the product team and it improve the product based on feedback. OpenAI says its forward deployed team works the same way. And because very few engineers can both write the code and sit patiently with a claims adjuster and understand the problem, that's why companies are paying so much to hire them.