Forward Deployed Engineers come with a catch

Amazon Web Services announced a $1 billion investment to embed forward deployed engineers within customer networks, aiming to help organizations become self-sufficient with AI. The role, which has seen job postings surge 700% year over year, raises concerns about vendor lock-in as engineers represent their employer's interests.

Amazon is all in on the trendiest new job in AI: forward deployed engineers FDEs . On Wednesday, Amazon Web Services announced it is investing $1 billion https://www.aboutamazon.com/news/aws/aws-1-billion-forward-deployed-ai-engineers to embed forward deployed engineers within its customer network. This network of engineers will help customers develop and deploy agents into their organizations, aiming to help them become "self-sufficient with AI" in days, the company said in its announcement. "Customers have moved past exploring what AI can do; they want to make it core to how they operate," Francessca Vasquez, VP of frontier AI engineering and services at AWS wrote in a blog post. "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." As part of this new Amazon organization, engineers will work directly with a customer’s business, engineering, and security teams to help them build systems that integrate with their data and governance structures. - Rather than treating these deployments as "standalone projects," Vasquez said, the goal is to help these customers create lasting AI strategies, deployments and skills to "innovate independently." These agentic systems will run within a customer's existing AWS environment. - After the engineer is done, the organization is left not only with deployed agents, but with knowledge graphs, runbooks, architectural documentation and "trained internal champions" to keep the momentum going. The idea is for every new engagement with these AI systems to compound its knowledge and make it more useful. Amazon's investment is the latest indication that tech companies are betting on forward deployed engineers to solve the ROI problem in enterprise AI https://www.thedeepview.com/articles/ai-s-roi-problem-can-t-stop-the-spending-spree . This role, which essentially loans AI experts to a client's organization, has taken off in recent months, with job postings for forward deployed engineers up around 700% year over year, according to Business Insider https://www.businessinsider.com/forward-deployed-engineer-jobs-in-demand-2026-5 . And Amazon's not the only one building its forces. In May, OpenAI launched the OpenAI Deployment Company https://openai.com/index/openai-launches-the-deployment-company/ , designed to help organizations build and deploy its technology using forward deployed engineers. Our Deeper View It makes sense that forward deployed engineers have taken off. AI is incredibly complex, and the barrier to entry can be daunting for many organizations. Forward deployed engineers can help remove those obstacles, and do so using the technology of whichever vendor they represent, creating a built-in user base. However, organizations that decide to take in forward deployed engineers have to remember that they come with a catch: These engineers represent the best interests of Amazon, OpenAI, or whatever other organization they come from. Working with them to integrate their tech into your systems can lead to unwanted lock-in.