Job Description

We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments.

This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes.

Key Responsibilities

- Design multi-agent architectures (task decomposition, orchestration, coordination patterns)

- Define how LLM-powered agents interact with:

- Enterprise data platforms

- APIs and tools

- Operational workflows

- Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails

- Establish observability, tracing, feedback loops, and controls for agent behavior

- Define memory strategies (short-term, long-term, contextual grounding)

- Collaborate with data, platform, and engineering teams to integrate AI into core systems

- Guide and train teams on best practices for scalable and reliable AI systems

📌 AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) (Monterrey)
🏢 Endava
📍 Monterrey