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

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

31 jul
|
Endava
|
Argentina

31 jul

Endava

Argentina

Company Description
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 general shift by doing work that matters.

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 Qualifications
What We’re Looking For Core Experience Strong background in software architecture and distributed systems Hands-on experience building complex LLM-based applications Experience designing complex workflows or orchestration systems Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations Strong understanding of Large Language Model (LLM) fundamentals, not just usage Solid...

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

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