NTT DATA: the AI-era FDE has moved from deploying software to delivering outcomes

In an October 27 post on NTT DATA's insights blog, Charlie Doubek argues that many enterprise AI programs stall in the gap between strategy and technical delivery, and that forward deployed engineers are the people best placed to close it. The post cites a 2026 Gartner article saying at least half of generative AI projects were abandoned after proof of concept by the end of last year.

The essay separates the FDE from neighbouring roles: a business analyst asks what the customer needs, a solution architect works out how to build it, and a technical program manager coordinates defined work, while the FDE starts from the measurable business result and helps decide what should be built in the first place. It traces the model from Palantir to AI labs such as OpenAI and Anthropic, hyperscaler partner programs at AWS and Microsoft, and consulting firms.

It then describes a five-step approach: define the outcome, map the current workflow, pick specific AI interventions, set a baseline to prove value, and turn the result into executable work. Doubek also recommends that companies create a formal translation layer staffed by FDEs and develop hybrid talent that mixes engineering, consulting and industry knowledge.

For FDEs, it's another sign that large IT services firms now see the role as broader than integration work, with consulting, governance and value measurement increasingly part of the job description.