Descriptions:
Forward Deployed Engineers (FDEs) are emerging as one of the most lucrative roles in the AI industry, with top practitioners reportedly earning over $1 million annually. In this long-form conversation between entrepreneur Greg Isenberg and Voss, co-founder of Veric Agents, the pair break down exactly what an FDE does, how the role was popularized by Palantir, and how someone can break into the field within 30 days.
The central argument is that as frontier models become commoditized — with enterprises converging on the same tools like Cursor, GitHub Copilot, and Claude Codex — competitive advantage is shifting from model access toward deployment quality. FDEs bridge that gap: they audit existing workflows, implement agentic pipelines combining deterministic software with LLM judgment calls, build evaluation suites, and shepherd clients through post-deployment monitoring of KPIs and SLAs.
Voss walks through the full FDE playbook, including how to structure human-in-the-loop approval flows, how to create eval frameworks for non-deterministic tasks like presentation generation (where golden datasets and human feedback loops both play a role), and what it means to truly “hand-hold” an enterprise client through AI adoption. The discussion also touches on recent model releases — including Kimi 3 and GPT-5.6 Soul — as evidence for why deployment expertise, not model access, has become the new competitive moat.
📺 Source: Greg Isenberg · Published July 20, 2026
🏷️ Format: Podcast
