Business leaders report a surge in new positions dedicated to applying artificial intelligence in real-world settings, with roles that did not exist before AI reached enterprise scale. One of the fastest-growing occupations is the forward deployed engineer (FDE), specialists who connect AI model capabilities with business operations to ensure successful implementation.
This evolution reflects a significant gap between developing an AI product and deploying it effectively—a challenge many organizations face. As a result, companies like Box have introduced multiple job categories spanning engineering, IT, and commercial functions, including AI architects, AI solutions managers, model evaluators, and AI business automation engineers.
Forward deployed engineers have become critical hires because most clients lack the expertise to operationalize AI on their own. Monthly job listings for these engineers jumped dramatically, signaling a clear shift towards demand for highly technical, integrative roles rather than a simple displacement of workers.
Model evaluators represent another emerging category. These professionals assess AI models to determine suitability for specific use cases, a necessity born from the non-interchangeable nature of AI solutions and the significant operational impact of these choices.
Other tech giants are making similar moves. Google, for instance, is aggressively recruiting forward deployed engineers to transition AI products from pilots to fully scaled implementations. OpenAI and Anthropic have also invested heavily in deployment teams as part of their AI expansion strategies.
According to data from the World Economic Forum and LinkedIn, AI has spawned millions of new roles worldwide, ranging from data annotators to AI-enabled data center workers. AI engineer remains one of the fastest-growing job titles in the United States, underscoring the technology’s ongoing labor market influence.
Beyond new roles, some companies are reshaping existing jobs to accommodate AI’s capabilities. IBM, for example, revamped entry-level positions to eliminate tasks that AI can automate, instead emphasizing complex problem-solving and client interaction. This approach led IBM to increase early-career hires, illustrating how AI integration can expand—not contract—the workforce.

