AWS is spending $1 billion to embed AI forward deployed engineers inside it's organisation. Here's what that tells us.

"Many customers need expert AI engineers working directly with their teams to help them build and become AI-native organisations."

Francessca Vasquez, VP of Frontier AI Engineering at AWS

That's not a quote from a training provider. It's from Francessca Vasquez, VP of Frontier AI Engineering at AWS, announcing a $1 billion investment to create a dedicated AI forward deployed engineering organisation, embedding thousands of engineers directly inside enterprise customer teams.

They're not alone. OpenAI and Anthropic have launched similar AI forward deployed engineering initiatives this year. The world's biggest technology companies are collectively spending billions to solve the same problem.

Organisations have the tools. They can't make them work.

AWS was explicit about why: customers have moved past exploring what AI can do. They want to make it core to how they operate. But many need expert engineers working directly with their teams to help them get there.

It confirms something we've been saying at Makers for a long time.

AI adoption isn't a technology problem. It's a people problem.

'The forward-deployed engineer is now the most in-demand skill set in the AI economy. Engineering, AI, curiosity, people skills. Makers has been building these skills for 15 years, working with the leaders - from Deloitte to Google. But we do more than that. We source and develop Fearless Learners.

At Makers, our engineers don't tell you they can learn, they show you.

We hire career switchers. People willing to step out of careers in teaching, finance, music, hospitality, and re-skill completely to become engineers through a 13 week bootcamp. They are fearless learners by definition'.

Our engineers are often promoted twice as fast as graduates. Three quarters are at the same company years later.

Get in touch to find out more.