AWS invests $1 billion to embed AI forward deployed engineers with customers

Customers have moved past exploring what AI can do; they want to make it core to how they operate. They want to recreate their business processes with agentic AI built in so they can increase productivity and deliver AI-powered products. I have also heard loud and clear that many customers need expert AI engineers working directly with their teams to help them build and become AI-native organizations.
Today, I'm excited to announce that we are meeting that demand by creating a dedicated AWS Forward Deployed Engineering (FDE) organization. Backed by a $1 billion investment, the AWS FDE model is different in three key ways: it is agentic-first, it compresses timelines from months to days, and it is designed so customers are self-sufficient when a deployment ends.
AWS FDE embeds AWS frontier teams—working with purpose-built agents—directly inside customer teams. These experienced engineers, many of whom build our AWS AI services, partner with a customer’s business, engineering, and security teams to build and deploy production AI systems with their data, governance, and processes.
Unlike traditional consulting that assesses, recommends, and treats each deployment as a standalone project, AWS FDE builds for the long term. Customers leave AWS FDE deployments with both new solutions and new engineering capabilities. Along with agentic systems running in their own AWS environment, they gain lasting AI skills, workflows, and patterns they can use to innovate independently. Deployments are structured around shared goals and business results, not billable hours. When customers succeed, we succeed.