AWS just put $1 billion into forward deployed engineers. Here’s why it matters for enterprise teams.
Amazon Web Services is investing $1 billion in a new engineering organization that will work directly with enterprise customers building AI applications.
Called forward deployed engineering, the new group announced on Tuesday will embed AWS engineers with customer teams to help build and deploy AI systems. AWS says those engineers will work alongside developers, security teams, and business stakeholders, using the customer’s own data, governance policies, and AWS infrastructure.
The company says the investment is a response to customer demand for more hands-on engineering support as AI projects move into production. The AWS announcement doesn’t disclose how the $1 billion will be allocated across the program.
According to AWS, customers want engineers working alongside their teams to help build AI systems and develop the internal expertise needed to maintain them.
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Engineers embedded, not advising
FDE teams will become part of customer projects rather than working as outside advisors. The company says customers receive production systems, documentation and engineering practices that remain after the engagement ends.
These teams are already working with organizations including the Allen Institute, Cox Automotive, the NBA, the NFL, and Ricoh. As one example, the company pointed to its work with the NFL, where engineers collaborated with league staff on NFL Fantasy AI and NFL IQ. AWS says those applications reached production within weeks.
Connecting enterprise data
To make that work, FDE teams connect enterprise data sources into a governed knowledge graph — a semantic layer — built inside the customer’s AWS environment. The architecture is designed to keep enterprise data within existing governance controls while making it available to the applications being built.
AWS says this approach can shorten deployment timelines from months to days, although it did not explain how it arrived at that estimate.
Engineers also use AI-assisted software development during these engagements while remaining responsible for reviewing and validating the work. AWS says this approach can shorten deployment timelines from months to days, although it did not explain how it arrived at that estimate.
Why the FDE investment matters
Many organizations already have access to foundation models. Integrating those models with internal systems, enterprise data, and security controls is often the larger engineering task.
Many organizations already have access to foundation models. Integrating those models with internal systems, enterprise data and security controls is often the larger engineering task.
AWS is expanding the number of engineers available to work directly with customers building AI software. According to the company, those engineers will build alongside customer teams rather than end engagements with recommendations alone.
The announcement also raises broader questions about how cloud providers will support enterprise AI projects. AWS already offers Professional Services, the Generative AI Innovation Center, and a large partner ecosystem. It remains to be seen how forward deployed engineering will fit alongside those existing organizations and whether other cloud providers expand similar customer-facing engineering teams.
What AWS hasn’t said
While AWS has not disclosed exact hiring targets beyond saying it expects to embed thousands of experts with customers, the company did clarify to The New Stack how the $1 billion investment will be spent. The funding will go toward “people (building and developing the team), tools and technology,” alongside partner training, programs, and customer credits.
AWS also noted that the new organization will build on the groundwork of the Generative AI Innovation Center, which has helped companies globally take AI solutions to production, saving “days to deployment based on thousands of customer engagements.” As AWS expands, these details will determine how forward-deployed engineering fits alongside the company’s existing enterprise services.
