Everything you need to know about FDE.
Guides on Forward Deployed Engineering, AI deployment, production systems, and how the embedded model works.
FDE Fundamentals
FDE as a Service: The Agency Model for Forward Deployed Engineering
FDE as a Service provides embedded AI engineering capacity on a per-project basis. No full-time hire, no recruiting competition, no permanent headcount.
Forward Deployed Engineer vs. Consultant: What's the Difference?
FDEs and consultants both work with external companies, but the model, accountability, and outputs are fundamentally different. Here's the full
Forward Deployed Engineering Agency: The Model Explained
A Forward Deployed Engineering agency provides embedded AI engineering capacity on a project basis — the FDE model without the full-time hire. Here's
How to Hire an Embedded AI Engineer (Without Competing with OpenAI)
Hiring a senior embedded AI engineer means competing with OpenAI, Anthropic, and Databricks for the same candidates. Here's how to win that competition
What Is a Forward Deployed Engineer?
A Forward Deployed Engineer (FDE) is a senior software engineer who embeds inside a client company to own AI system delivery end-to-end. Learn the role
What Is an Embedded AI Engineer and How Do They Work?
An embedded AI engineer works inside your organization — your Slack, your repo, your sprints — and owns AI system delivery end-to-end. Here's how the
What Is FDE-Agent? AI Agent Deployment by Embedded Engineers
FDE-Agent is fdeai.agency's AI agent deployment specialty — embedding senior engineers to build multi-agent systems, tool-use pipelines, and agent
AI Deployment
Enterprise AI Deployment Challenges
The real blockers in enterprise AI deployment are org processes, not the AI. A practitioner's guide to the 7 most common challenges and how to solve each one.
Enterprise LLM Deployment: Architecture, Compliance, and Scale
Deploying LLMs in enterprise environments requires navigating security reviews, data governance, legacy integration, and compliance requirements that
How to Take an AI Pilot to Production
Most AI pilots never reach production. Here's the engineering and organizational roadmap for taking an AI proof-of-concept to a live, maintained
What Makes a Production AI System: Requirements, Architecture, and Operations
A production AI system is fundamentally different from a demo or POC. Here are the engineering requirements, architectural decisions, and operational
Why AI Projects Fail: The Real Reasons (Not the Obvious Ones)
Over 73% of enterprise AI projects never reach production. These are the actual root causes — ownership gaps, undefined success criteria, integration
Services
AI Agent Deployment Services: What to Look For
AI agent deployment services vary enormously in scope, accountability, and output. Here's how to evaluate providers, what production-grade agent
AI Agent Development Company: What to Look For in 2026
The AI agent development market is crowded with vendors who build demos, not production systems. Here's how to evaluate AI agent development companies
AI Engineering Team Augmentation: When and How to Do It
AI engineering team augmentation fills the gap between what your current team can deliver and what your AI roadmap requires. Here's when it makes sense
LLM Evaluation Frameworks: How to Test AI Systems Before You Ship
LLM evaluation is the difference between shipping a system you understand and shipping one you're guessing about. Here's how to build an evaluation
ML Infrastructure Consulting: What It Covers and When You Need It
ML infrastructure consulting covers the systems that AI models run on: training pipelines, feature stores, model serving, monitoring, and data
On-Premises LLM Deployment: A Complete Technical Guide
On-premises LLM deployment runs open-weight language models on your own hardware, inside your network. Here's the technical architecture, hardware
RAG Pipeline Development
RAG is the dominant enterprise AI architecture pattern. This guide covers pipeline design, failure modes, cost optimization, and what production-grade
Comparison
AI Deployment Agency: What to Look For and How to Evaluate
AI deployment agencies vary enormously in what they actually deliver. Here's how to evaluate them, what separates execution-focused agencies from
AI Deployment Consulting: Strategy vs. Execution
AI deployment consulting covers both strategic and technical layers of getting AI systems into production. Here's the difference between
OpenAI Forward Deployed Engineer: Roles, Pay, and the Deployment Company
OpenAI's Forward Deployed Engineer role and the OpenAI Deployment Company represent the frontier of enterprise AI delivery. Here's how OpenAI's FDE
Palantir's Forward Deployed Engineer Model: How It Works
Palantir invented the Forward Deployed Engineer model and built a $50B+ company on it. Here's how Palantir's FDE model works, how it's evolved, and what