AI Architecture for Software Engineers: Designing Scalable Systems for the AI Era

Name: AI Architecture for Software Engineers: Designing Scalable Systems for the AI Era
Brand: Independently Published
SKU: 9798242458659
Price: 1666.0 INR
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ISBN13: 9798242458659
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: February 12, 2026
Pages: 212
Original Price: GBP 14.67
Language: English
Edition: N/A
Item Weight: 291 grams
BISAC Subject(s): Artificial Intelligence / Generative AI

About The Book

Generative AI isn't a feature. It's an architectural shift.

Traditional software architectures were not designed for probabilistic models, token limits, vector search, or continuous model evolution. This book shows how to design AI-first systems-architectures where GenAI is a core capability, not an afterthought.

If you're building modern platforms, products, or enterprise systems, this guide gives you the architectural patterns, tradeoffs, and mental models needed for an AI-driven world.

What You'll Learn in This Book

What "AI-first" really means at the architecture level
Designing systems around LLMs, embeddings, and agents
Integrating RAG, vector databases, and tool orchestration
Handling latency, cost, and reliability in AI pipelines
Scaling GenAI workloads in production
Observability, evaluation, and governance for AI systems
Future-proofing architectures as models evolve

This book focuses on system design, not API tutorials.

Who This Book Is For

Ideal for:

Software architects and senior engineers
Platform and infrastructure engineers
Technical founders and CTOs
Engineers building AI-powered products
Teams moving GenAI from prototype to production

Experience with distributed systems or backend development is recommended.

Why AI-First Architecture Matters

GenAI systems introduce new constraints:

Non-deterministic outputs
Token-based cost models
Data grounding requirements
Rapidly evolving models

AI-first architecture treats these realities as first-class design concerns, enabling systems that are scalable, observable, and maintainable.

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