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Shipping Enterprise AI: The Forward Deployed Engineer's Playbook is written for the engineer, architect, consultant, or AI practitioner who must take AI systems into real client environments — where data is messy, access controls matter, legal and security teams ask hard questions, cost must be justified, and users expect the system to work after the demo is over.

This book defines the Forward Deployed Engineer, or FDE, as one of the most important emerging roles in enterprise AI: the person who stands at the boundary between model capability and operational value. The FDE is not just a solutions engineer, consultant, ML engineer, or implementation specialist. The FDE is the person responsible for turning AI ambition into deployed, trusted, observable, economically viable systems.

Inside, you will learn how an FDE approaches the full enterprise AI deployment surface:

how to decompose vague AI use cases into buildable workflows
how to evaluate whether data, permissions, identity, and governance are ready for production
how to design enterprise RAG systems that survive real-world access-control and retrieval-quality constraints
how to use agentic AI responsibly without creating uncontrolled automation risk
how to work with APIs, integration patterns, cloud services, vector databases, observability tools, evaluation frameworks, and governance artifacts
how to explain AI value to executives while earning trust from engineering, security, legal, risk, compliance, and operations teams
how to build cost models, evaluation suites, handover plans, runbooks, and production-readiness evidence
how to operate in regulated sectors such as financial services, healthcare, public sector, manufacturing, and other high-stakes environments
how to build a career as a Forward Deployed Engineer or independent enterprise AI deployment practitioner

What the Book Covers

Chapter 1 — Why the Forward Deployed Engineer Exists
Chapter 2 — FDE vs. Everyone Else
Chapter 3 — The FDE Mindset
Chapter 4 — The FDE Technical Baseline
Chapter 5 — Data Preparation and Contracts
Chapter 6 — RAG Architecture for Enterprise Deployments
Chapter 7 — Agentic AI in the Enterprise
Chapter 8 — Enterprise Integration Patterns
Chapter 9 — Cost Engineering and Unit Economics
Chapter 10 — AI Observability and Evaluation in the Field
Chapter 11 — Discovery and Problem Decomposition
Chapter 12 — The First 30 Days on a Client Engagement
Chapter 13 — Stakeholder Management
Chapter 14 — Internal Politics and Organizational Change
Chapter 15 — Delivery, Handover, and Expansion
Chapter 16 — Financial Services Deployments
Chapter 17 — Healthcare and Life Sciences
Chapter 18 — Other High-Stakes Sectors
Chapter 19 — Security, Trust, and Compliance in the Field
Chapter 20 — Breaking Into the FDE Role
Chapter 21 — The Independent FDE — Building a Practice
Chapter 22 — Sustaining the FDE Career
Chapter 23 — The Future of Forward Deployed Engineering

Shipping Enterprise AI - The Forward Deployed Engineer's Playbook

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