AI-Driven Software Architect | Generative AI, LLMs & Enterprise Architecture

About Marcos Cazaux

I help engineering teams and organizations evolve towards AI-driven software engineering, improving how complex software systems are designed, built and delivered at scale.

I am an AI-Driven Software Architect and Technical Lead specialized in Generative AI, Large Language Models (LLMs) and AI agent-based systems, applied to enterprise-grade software engineering and platform architecture.

My career has evolved through multiple stages: from frontend engineering and UX systems, to enterprise software architecture, and more recently into AI-driven software engineering and intelligent development systems.

Enterprise Architecture & SAP CX (Spartacus)

Currently, I work at Accenture, where I design and lead large-scale enterprise commerce platforms based on SAP CX Commerce Cloud Composable Storefront (Spartacus) and Angular ecosystems.

I operate across multiple engineering teams and enterprise delivery environments, transforming traditional software delivery models into AI-driven engineering systems focused on scalability, performance and maintainability.

AI-Driven Software Engineering

My work focuses on integrating Generative AI, LLMs and AI-assisted workflows into real-world engineering systems, improving how teams build, test, validate and deliver software at scale.

Core Expertise

  • Generative AI applied to software engineering workflows
  • LLM integration for code generation, refactoring, testing and validation
  • AI agent-based systems for orchestration and automation
  • AI-driven quality systems, linting and validation pipelines
  • CI/CD automation and intelligent delivery pipelines
  • Enterprise frontend architecture (Angular, SAP CX Spartacus, SSR/PWA)
  • Cloud-based architectures and scalable delivery systems (AWS)

Engineering Impact

  • Improved developer productivity through AI-assisted workflows
  • Reduced validation and review cycles using AI-based quality processes
  • Increased consistency and maintainability across enterprise systems
  • Accelerated onboarding and engineering knowledge transfer

Software Architecture Background

Before Accenture, I worked as a Software Architect and Technical Lead at Minsait (Indra), where I defined scalable frontend architectures, micro-frontend systems and enterprise engineering standards.

I also led the Front-End engineering capability for a regional office, owning technical direction, architecture standards, hiring processes and engineering mentoring across multiple teams.

Prior to that, at NTT DATA, I worked on enterprise Angular applications for banking and telecommunications platforms, focusing on SPA architectures, frontend scalability and integration in complex enterprise environments.

Engineering Evolution

My professional path reflects a continuous evolution from frontend engineering and UX systems, through enterprise software architecture, into AI-driven engineering systems.

I apply a systems-thinking approach, connecting architectural decisions with scalability, performance, developer productivity and long-term system sustainability.

Current Focus

  • AI-driven software engineering and automation systems
  • Agent-based architectures and autonomous workflows
  • Developer productivity and AI-augmented engineering environments
  • Scalable enterprise architectures enhanced with AI capabilities

Mission

I collaborate with engineering teams, mentor developers and contribute to building high-performance engineering systems focused on scalability, quality and continuous improvement.

My goal is to help organizations evolve into AI-driven engineering systems that enable faster delivery, higher quality and sustainable software architectures.