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AI engineer vs. forward deployed engineer: Which role delivers the most business value?

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Why This Matters

The rapid growth of forward-deployed engineers highlights their increasing importance in integrating AI solutions directly with customers, emphasizing a hands-on approach to solving real-world problems. However, industry leaders suggest that AI engineers may offer broader career growth and more value to businesses by working across multiple platforms and models. Understanding these roles helps organizations and professionals navigate the evolving AI landscape effectively.

Key Takeaways

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ZDNET's key takeaways

Postings for forward-deployed engineers grew by 1,165% last year.

Some AI leaders say AI engineers are in a more valuable role.

Ultimately, the role that matters is one that brings value to the business.

You may have been hearing a lot of buzz lately about the role of forward deployed engineer (FDE) as a career option. But how viable an option is it? Among industry experts, opinions are mixed.

The number of job postings with the job title "forward deployed engineer," tracked through 2025, grew by 1,165% over the previous year, according to estimates compiled by Henley Wing Chiu, chief technology officer of Revealera. Top responsibilities of FDEs include working directly with customers, building and deploying AI and machine-learning systems, and integrating systems and APIs.

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FDEs embed themselves with customers and users, helping promote and implement AI. "Forward-deployed engineering is a strong path for people who want to work closer to real customer problems," said Shruti Tyagi, senior manager of problem management at ServiceNow. "In enterprise AI, the challenge is often not just building the AI solution. It is making it work inside existing workflows, security requirements, approval processes, data issues, and adoption challenges."

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