OverviewIn this role you shape the enterprise AI platform used by teams globally, building scalable, secure and cost-efficient infrastructure.

You will work with cross-functional stakeholders to enable AI services, governance, and model routing at scale, driving adoption and reliability.

You'll grow your technical leadership and, if you choose, mentor others while delivering high-impact platform solutions.

This is a hands-on opportunity to influence architecture, tooling, and best practices in a collaborative environment.

Compensaciones / BeneficiosPrivate health insurance

Full coverage for sick leave

Emotional, legal and family support

Gym discounts or sports compensation

Adaptable remuneration: meals, transport, childcare

23 working days of vacation

ResponsabilidadesDesign, build and operate the enterprise AI platform runtime

Enable teams via shared AI services, governance frameworks and model routing

Implement prompt and skills management capabilities

Ensure scalability, reliability,



observability, compliance and cost efficiency

Define platform standards and collaborate with internal stakeholders to drive AI adoption

Requisitos principalesProven experience building and operating AI or developer platforms at production scale

Strong expertise in Kubernetes, cloud-native infrastructure, networking, and platform operations

Experience with LLMOps/MLOps ecosystems, vector databases, embeddings, RAG architectures, and AI frameworks

Hands-on software engineering with Python and Java; Infrastructure as Code with Terraform; CI/CD practices

Strong understanding of AI governance, compliance, safety guardrails, observability, reliability, and AI FinOps principles

Autonomy

Mentoring experience or willingness to mentor

Collaboration and teamwork

Kubernetes cloud-native infrastructure

Networking

📌 Ai Infrastructure Engineer - Cloud & Llmops - Insurance Industry (Barcelona)
🏢 Erni
📍 Barcelona