Shipping Enterprise AI - The Forward Deployed Engineer's Playbook

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