AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
- Full-time

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a integral shift by doing work that matters.
We are looking for a highly skilled and hands-onAIArchitecttodesign and lead the implementation ofmulti-agent (agentic) systemsin enterprise environments.
This is not a prompt engineering or chatbot role.We are focused on buildingproduction-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated withreal businessprocesses.
Key Responsibilities
Designmulti-agent architectures(task decomposition, orchestration, coordination patterns)
Define how LLM-powered agents interact with:




APIs and tools
Operational workflows
Leadagentic systems from PoC to productionwith model, cost, security, privacy, and responsible AI guardrails
Establishobservability, tracing, feedback loops, and controlsfor agent behavior
Definememory strategies(short-term, long-term, contextual grounding)
Collaborate with data, platform, and engineering teams to integrate AI into core systems
Guideand trainteams onbest practices for scalable and reliable AI systems
WhatWe’reLooking For
Core Experience
Strong background insoftware architecture and distributed systems
Hands-on experience buildingcomplexLLM-based applications
Experience designingcomplex workflows or orchestration systems
Solid understanding ofRAGarchitectures, retrieval optimization, and retrieval quality
LLM & AI Foundations
Strong understanding ofLarge Language Model (LLM) fundamentals, not just usage
Solid grasp ofTransformer architecture(at

📌 AI Architect – Agentic Systems (Monterrey)
🏢 Endava
📍 Monterrey