Amazon Web Services (AWS) has launched a new internal team of AI-focused forward-deployed engineers (FDEs) to help businesses implement artificial intelligence systems more quickly and build long-term AI capabilities.
The new organization will embed AWS engineers within customer companies to develop and deploy purpose-built AI agents tailored to each organization’s needs. AWS said the engagements are designed to be short-term while enabling customers to manage and expand their AI systems independently after deployment.
According to Francesca Vasquez, AWS Vice President of Frontier AI, the initiative goes beyond delivering AI tools by helping customers develop internal expertise;
“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” – Vasquez
AWS said it will commit $1 billion in internal resources to support the initiative. The company clarified that the funding represents internal investment rather than a joint venture or external financing.
The forward-deployed engineer (FDE) model, originally popularized by Palantir, involves placing engineers from a technology provider inside client organizations during AI implementation. The approach allows AI systems to be customized to a company’s operations while giving customers direct access to technical expertise throughout the deployment process.
Although the model can accelerate AI adoption, it also requires technology providers to maintain large teams of engineers capable of supporting multiple customer deployments.
AWS joins a growing list of AI companies adopting the FDE model. In recent months, both OpenAI and Anthropic have launched similar initiatives through partnerships with private equity firms, combining AI expertise with investment and enterprise customer networks.
