The Forward Deployed Engineer
The Forward Deployed Engineer is a podcast about the hardest part of enterprise AI: bridging the gap between a generalizable model and the messy reality of a specific customer's operations. It covers frameworks, war stories, and the economics of making deployments actually land. The show focuses on the last mile of AI implementation, where the team that bought the AI must actually use it at the workstation.
Episodes
The Outer Loop (Paving Gravel Roads Into Scalable Software)
<div> <p>In this episode, we dive into Chapter 9 of <strong><em>The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI</em></strong> by Sho Shimoda. We explore the "Outer Loop"—the strategic phase that begins the moment a deployment goes into production, ensuring your FDE function creates compounding platform leverage rather than s
The Inner Loop (Prototype to Production)
In this episode, we dive into Chapter 8 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore the "Inner Loop"—the critical, iterative phase of an engagement that bridges the gap between the end of customer discovery and the first production milestone [1]. Tune in as we break down the tactical frameworks FDEs use to turn a generalizable pla
Customer Discovery and the Messy Reality (Solving the "Weird Tuesday" Problem)
In this episode, we dive into Chapter 7 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda [1, 2]. We explore the crucial first two weeks of an FDE engagement, known as the discovery phase, and why compressing this timeline to rush into building is a costly mistake that leads to failed deployments [2, 3]. Tune in as we break down the three concrete ou
The Soft Stack (Why Diplomacy is a Technical Skill)
In this episode, we unpack Chapter 6 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda [1, 2]. We explore why the FDE role is the single function in the AI industry where "soft skills" often outweigh technical skills as a predictor of long-term success [3]. We push back on the idea that soft skills are just vague, innate traits [4]. Instead, we refra
The AI and Agentic Frontier (Moving Beyond Chatbots)
In this episode, we dive into Chapter 5 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda [1]. We explore the rapidly shifting technological landscape of enterprise AI and why the skills that produced a competent chatbot in 2023 will produce a brittle, failing deployment in 2026 [2, 3]. We break down the critical shift from passive, conversational ch
The Technical Bar (Why FDEs Are the Ultimate Escalation)
In this episode, we unpack Chapter 4 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore why an FDE must be, first and last, an engineer—and why their technical bar actually needs to be higher than a comparable platform engineer [1, 2]. Unlike Solutions Architects or Customer Success Managers, FDEs have no technical fallback. When an integratio
Where the FDE Sits in the Org (Avoiding the Classification Mistake)
In this episode, we unpack Chapter 3 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore why the first decision a company makes about its Forward Deployed Engineering (FDE) function is almost always wrong, a phenomenon Shimoda calls the "Classification Mistake" We break down the common traps of placing FDEs in the wrong reporting structure
The Last-Mile Problem in Enterprise AI
In this episode, we dive into Chapter 2 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore the concept of the "last mile"—a term borrowed from telecommunications and logistics to describe the hardest, most expensive part of a deployment. You will discover why, contrary to popular belief, AI actually makes this last mile longer and explodes the
What is a Forward Deployed Engineer? (The Operator's Contradiction)
In this episode, we dive into Chapter 1 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore the "Operator's Contradiction"—the paradox where operations-heavy businesses, like BPOs, are threatened by AI, yet possess the exact operational knowledge required to successfully deploy it. We trace the origins of the FDE role back to Palantir's "Delta"
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