Amazon Web Services has announced a $1 billion investment to create a dedicated Forward Deployed Engineering (FDE) organization, a team of experienced AWS engineers who will work directly inside customer organizations to build and ship production AI systems. The move signals a major shift in how AWS plans to sell and deliver AI, going well beyond software licenses and cloud credits.
The timing is not accidental. Enterprise customers have largely moved past the “what can AI do?” phase. They now want AI baked into core business operations, and many do not have the in-house engineering talent to get there fast enough. AWS is betting that putting its own builders inside client teams is the answer.
Early customers already working with AWS FDE include the Allen Institute, Cox Automotive, the NBA, the NFL, Ricoh, and Southwest Airlines. The NFL’s chief information officer, Gary Brantley, said the partnership allowed his team to go from planning to production in just weeks, resulting in fan-facing products like NFL Fantasy AI and NFL IQ.
What makes AWS FDE different from traditional consulting
Standard technology consulting follows a familiar pattern: assess the situation, write a report, recommend a solution, and move on. AWS FDE is structured differently from the ground up. Three things separate it from that model:
- Agentic-first: AWS FDE uses AI agents to help build AI solutions, compressing project timelines from months to days.
- Built for outcomes, not hours: Engagements are tied to shared business goals, not billable hours.
- Designed for self-sufficiency: When the engagement ends, the customer keeps everything, including the systems, documentation, and the skills to run it all independently.
AWS FDE teams include engineers who actually build AWS AI services. They work alongside a customer’s own business, engineering, and security staff to deploy production systems using the customer’s own data, governance rules, and internal processes.
How the technical model works
At the core of each engagement is something AWS calls the AI-Driven Development Lifecycle, a new approach to software development where AI agents handle execution across every phase while human engineers provide oversight and direction. This is not an AI tool bolted onto an existing workflow. It is a rethought process from the start.
A key technical piece is a semantic layer that FDE teams deploy directly into the customer’s own AWS account. It connects to enterprise data sources, enriches metadata, and publishes a governed, versioned knowledge graph. AI agents then reason over that graph, which means domain expertise ends up living in the customer’s code rather than in the heads of consultants who eventually leave.
Security is built in from day one:
- Hardware-based isolation
- End-to-end encryption
- Customer data stays within the customer’s own governance framework at all times
What customers walk away with
AWS says customer engineers are deliberately moved through a progression during each engagement: from observers, to co-builders, to autonomous operators by the time the project wraps up. That means when AWS FDE packs up, clients are not left dependent on outside help.
At the end of an engagement, customers have:
- Production AI systems running in their own AWS environment
- Knowledge graphs and architectural documentation
- Runbooks for ongoing operations
- Trained internal staff who can continue building independently
AWS’s track record and why it matters here
This is not AWS’s first time working closely with enterprise customers on AI. Since 2017, AWS has been building AI solutions alongside clients. Over the past three years alone, the AWS Generative AI Innovation Center has worked on thousands of customer projects. Past work includes helping BMW reduce service disruptions across 23 million connected vehicles, building a manufacturing assistant for Jabil, and helping Lyft resolve driver support issues 87% faster.
AWS Partners will also play a role in FDE engagements, bringing industry knowledge and specialist skills to individual projects. AWS says it is investing in partner training and tools to support that side of the program.
Who AWS FDE is aimed at
AWS FDE is not aimed at companies still running proofs of concept. It targets organizations that are ready to run real business processes on production AI systems, particularly those in regulated industries, financial services, and government, where security and speed to production are requirements rather than preferences.
Companies interested in the program can contact their AWS account team to discuss how FDE can support their AI goals.
