Anthropic plans to invest $100 million in training enterprise engineers to integrate Claude and AI agent systems into workplace processes, with a target of 10,000 people trained by the end of 2027. The initiative is designed to expand business use of Claude as the company prepares for a possible initial public offering (IPO).
Businesses are under growing pressure to adapt as AI models improve and competitors use the technology to pursue market share. Shambhavi, Anthropic’s head of partner market strategy and operations, said customers recognize how quickly model capabilities are advancing and are assessing which tasks they could handle.
Anthropic identifies five core skills for FDEs
Anthropic calls the role a “Frontier Deployed Engineer” (FDE), rather than the more common industry term “forward deployed engineer.” FDEs bring deep technical expertise into businesses to help customers design new ways of working and deploy AI systems. Palantir helped popularize the forward-deployed engineer title.
Shambhavi outlined four core capabilities for the role: familiarity with agentic AI systems, problem-solving, communication, and strong engineering experience and skills. Steve Corfield, Anthropic’s head of global business development and partnerships, added a fifth: curiosity. He said the ability to keep asking questions and exploring is central to the work.
Communication is particularly important when companies redesign workflows and introduce agentic AI across their operations. Engineers must address technical challenges while coordinating with different teams and colleagues. Shambhavi said Anthropic’s own FDEs deal with these demands every day, and the company wants to share that experience with customers, partners, and enterprise engineers so they can use Claude more effectively.
Four days of training, followed by 12 weeks on the job
The first training sessions have begun in New York and San Francisco, with participants from organizations including Accenture, Bain, and Novo Nordisk. Companies nominate engineers, who are then interviewed by Anthropic.
Selected participants attend a four-day in-person course. They learn to build and deploy agent systems in simulated environments and complete practical assessments. They then return to their employers to work on projects over the following 12 weeks, with guidance from Anthropic mentors.
Anthropic is still refining how it will assess participants. Shambhavi said evaluations will focus on skills required of effective FDEs, including communication, problem-solving, and coding. For enterprise customers, the challenge is not simply a lack of interest in AI, but a shortage of people who can put the tools to work in specific business operations. Corfield described that shortage as a skills gap and a barrier to broader market adoption.
Companies compete for AI implementation talent
Engineers able to help teams expand their use of AI are increasingly sought after across the technology sector. Salesforce said in May that it planned to hire 1,000 early-career employees for “AI builder” roles. Corfield said Anthropic’s program, combined with the company’s other AI education initiatives, could set a benchmark for industry training.
The program places training inside companies’ working environments rather than limiting it to classroom instruction on the tools. Its commercial relevance lies in whether engineers can identify suitable uses, redesign processes, and deploy systems successfully—steps that affect whether businesses turn model capabilities into sustained use. Anthropic’s goal of training 10,000 people, and whether the program can narrow the skills gap facing enterprise AI deployment, will be tested as it progresses.