AI Architect

• Cloud architectures  (AWS)

• Kubernetes, containers, and runtime platforms.

• GPUs, inference infrastructure, and serving optimization.

• APIs, gateways, service mesh, IAM, secrets management, and security.

• Observability, traceability, logging, and monitoring of AI systems.

• MLOps / LLMOps, CI/CD pipelines, and deployment automation.

• RAG architectures, agents, foundation models, and GenAI platforms.

• AI Governance, Responsible AI, and European regulation.

• Design of standards, patterns, and reusable platforms at a corporate level.

You will be part of innovative projects where you will work on the entire lifecycle of Generative AI solutions: from design and experimentation to production through LLMOps practices.

We are hiring an IA Architect  to lead the design and evolution of a robust, scalable, and governed artificial intelligence architecture.

We are not just looking for a profile specialized in models, prompts, or use cases. We need someone capable of understanding and designing AI end-to-end, with special depth in how it is deployed, operated, scaled, secured, and governed on real infrastructure.

The person will be responsible for defining and evolving, among other areas:
• AI, GenAI, and agent architectures in production environments.
• Infrastructure for inference, serving, deployment, and operation of models and agents.
• Integration with cloud, data platforms, APIs, networks, security, observability, and CI/CD.
• MLOps / LLMOps patterns and industrialization processes.
• Approval workflows, controls, and governance mechanisms.
• Cross-cutting contracts between the different layers of the architecture.
• Standardization and industrialization of the AI "stack" to facilitate adoption, reuse, and scalability.

You will have the possibility to work in a remote or hybrid work model.

A profile with an architectural vision, but also with the capacity to dive into the technical details.

We are especially looking for someone capable of connecting infrastructure + architecture + AI + governance, avoiding isolated solutions or those difficult to industrialize.