Senior AI Architect

  •     6+ years of experience in data engineering, ML or AI engineering, with a hands-on profile

•     Strong knowledge of machine learning and solid experience designing and deploying AI/ML systems

•     Experience working with large data volumes, ideally in streaming or real-time environments

•     Recent experience (last 1–2 years) building and taking to production solutions with LLMs, RAG or AI agents

•     Good understanding of agentic concepts: LLM-based reasoning and planning, tool-using agents and multi-agent coordination

•     Good coding skills (Python) and familiarity with cloud-native architectures and AI/ML platforms

•     Good communication skills, comfortable talking to clients and explaining technical topics to non-technical people

•     Experience in regulated environments (banking, insurance, energy...) and AI governance or risk management

•     Knowledge of LLMOps / MLOps practices

•     Experience with AIOps platforms

•     Knowledge of the telecom world (OSS, 5G, O-RAN...)

•     Experience in consulting, pre-sales or RFPs

•     Certifications or training in cloud architecture or AI/ML

• Competitive salary, Health insurance and Flexible Compensation Plan as an enterprise benefit
• Annual training budget to help you stay technologically up to date and grow professionally.
• Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit. In addition, we enjoy a reduced working day on Fridays and Summer (July and August).
• Our projects are Cutting-edge in technology and are in both national and international environments, making your growth global.
• We are committed to a flexible working model: hybrid, remote or office-based, you can choose what best suits your personal and professional needs (within Spain).
• Our employee satisfaction survey tell us that we have a great work environment and great professionals in the company. Do you want to check it out? Join us!

Position Summary

We are looking for a hands-on Agentic AI / ML Architect to design and build AI agent-based solutions for our projects and our clients. This is not a purely advisory role: you will define the architecture and also be part of the team that builds it, from the first prototype to production.

You will work side by side with our engineering and project teams, who bring deep knowledge of the telecom domain, and you will be the reference person on AI. You will also take part in conversations with clients, understanding their needs and explaining your technical decisions in a clear way.

What You’ll Work On

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•     Design and implement solutions based on LLMs and AI agents, from architecture to working code

•     Build RAG-based knowledge systems using internal documentation, procedures and operational data

•     Design end-to-end architectures, from data ingestion to automated actions

•     Define agent responsibilities, boundaries, autonomy levels and interaction models (single vs. multi-agent)

•     Implement safe execution mechanisms: guardrails, approvals, policy enforcement and rollback

•     Work with streaming and real-time data pipelines at high volumes

•     Set up how we evaluate, monitor and improve AI solutions in production

•     Take part in client meetings and technical workshops, and help assess and prioritize use cases

•     Share knowledge and good practices with the team while working on the same projects