AI Generalist Engineer
Artificial Intelligence is changing how software is built, how businesses operate, and how technology leaders make decisions. Yet most resources focus on isolated tools or techniques, leaving professionals without a cohesive framework for building enterprise AI solutions.
AI Generalist Engineer provides that framework.
Designed for software engineers, architects, consultants, technical leaders, and AI practitioners, this book takes you from understanding large language models to designing production-ready AI systems. You'll learn prompt engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), AI agents, automation platforms, enterprise integration, governance, security, and LLMOps through practical architectures, proven patterns, and real-world examples.
Unlike books centered on a single framework or vendor, this guide introduces original enterprise-ready frameworks that help you make better architectural decisions, evaluate technologies, build trustworthy AI systems, and scale them across the enterprise.
Whether you're modernizing enterprise applications, leading AI transformation initiatives, or preparing for the next generation of software engineering, this book offers a structured roadmap to becoming an AI Generalist—someone who can bridge business, software engineering, enterprise architecture, and artificial intelligence to deliver real business value.
