A Day in the Life of a Forward-Deployed Engineer

SUMMARY: What does a Forward-Deployed Engineer actually do? And what about deploying AI Harness? Let’s dig into the real-world with these evolving AI concepts and technologies.
SHOW: 1039
SHOW TRANSCRIPT: The Enterprise AI Show #1039 Transcript (docs.google.com/document/d/1ISwNL7znI0_bghyUXm…)
SHOW VIDEO: youtu.be/QY0fqu2O84M
SHOW SPONSORS:
• OutShift by Cisco - “Scaling Out Superintelligence” (outshift.cisco.com/internet-of-cognition/white…) The Internet of Cognition architecture
• ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! (sharegate.com/protect)
• Nasuni - Activate your data for AI and request a demo (nasuni.com/AI)
SHOW NOTES:
• Mozilla Thunderbolt launched (arstechnica.com/ai/2026/04/mozilla-launches-th…)
• Mozilla Thunderbolt (thunderbolt.io) (homepage)

Topic 1 - Welcome to the show, tell us a bit about your background and what you focus on these days.
Topic 2 - Let’s talk about the role of Forward Deployed Engineer, it’s being talked about a lot, but you’re living in that world now. What problems are FDEs usually tasked with trying to solve, or new things to implement?
Topic 3 - We’ve seen other roles (DevOps, PlatformEng, etc.) that evolved from other roles or skills. What type of background lends itself to success in FDE? What skills are needed going forward?
Topic 4 - You’re also working on some AI harness implementations. What can you tell us about those challenges and the technologies behind the harness?
Topic 5 - At what point does an AI harness make sense for a company? What types of AI challenges typically require those next steps?
Topic 6 - Working in the middle of this evolving AI space, what are some perspectives you’ve gained over the last 6-12 months? What do you wish you knew ahead of time?
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