AI Architect: Enterprise LLMs, Multi-Agent AI & Governance

Allfunds

Madrid

Presencial

EUR 120.000 - 160.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Allfunds is seeking an AI Architect in Madrid to lead the definition, design, and implementation of advanced AI solutions across the organization. You will transform business challenges into scalable architectures, selecting technologies, models, and cloud services to deliver measurable value.

You will work with stakeholders, data scientists, and engineers to design end-to-end AI solutions based on LLMs, ML/DL, RAG, and AI agents, ensuring governance, security, and scalable production readiness.

Formación

  • Strong knowledge of Large Language Models (LLMs) and Generative AI architectures.
  • Hands-on experience with LangChain and LangGraph.
  • Experience designing AI Agents and multi-agent systems; strong Python development skills.

Responsabilidades

  • Define enterprise AI architecture principles, standards, and best practices.
  • Design AI solutions leveraging LLMs, Deep Learning, RAG, and Agentic AI patterns.
  • Architect AI agents and multi-agent systems using LangChain and LangGraph.
  • Define end-to-end solution architectures including model orchestration and tool integration.
  • Design scalable and secure AI platforms on cloud providers (Azure, AWS, or GCP).
  • Establish governance, security, compliance, and Responsible AI controls.
  • Provide architectural leadership to development teams and align with enterprise architecture.

Conocimientos

LLMs & Generative AI
Python development
REST APIs / event-driven
MLOps / LLMOps
Responsible AI / governance
Stakeholder management
Multi-agent systems design

Herramientas

LangChain
LangGraph
Embeddings / vector databases
Azure
AWS
GCP

Descripción del empleo

Allfunds is seeking an AI Architect in Madrid to lead the definition, design, and implementation of advanced AI solutions across the organization. You will transform business challenges into scalable architectures, selecting technologies, models, and cloud services to deliver measurable value.

You will work with stakeholders, data scientists, and engineers to design end-to-end AI solutions based on LLMs, ML/DL, RAG, and AI agents, ensuring governance, security, and scalable production readiness.

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