Experteer Overview In this role you own the AI platform runtime and governance that powers multiple teams globally. You design, build, and operate Kubernetes-based services, routing, and shared AI components to enable scalable, compliant AI workloads with strong FinOps and safety controls. You define platform standards and curate the AI tool landscape to support diverse use cases. You work cross-functionally to drive observability, cost efficiency, and reliable delivery across regions.
Compensaciones / Incentivos
- Design, build, and operate the AI platform runtime (Kubernetes-based services, gateways, routing) with model routing, caching, shared RAG components, and prompt/skills management
- Provide a plug-and-play surface for teams with AI FinOps, quotas, usage metering, and safety/compliance guardrails
- Define and maintain platform standards (frameworks, SDKs, Spec Kits, MCP interfaces), curate AI tool landscape, and manage lifecycle from sandbox to standardization or retirement
- Implement platform-wide observability (metrics, logs, traces), SLOs, cost and performance instrumentation, and incident response processes
- Partner with AI Gateway, governance owners, hyperscalers, and AI frontier labs to influence features, terms of service, and roadmaps for regulated industries
- Optimize platform scalability,



reliability, and cost across regions and environments; drive capacity planning, release automation, and risk recoveryResponsabilidades
- Proven track record building u0026 operating AI or developer platforms at production scale in regulated or large-scale environments
- Hands-on platform builder with an enablement mindset for shipping platform capabilities used by multiple teams
- Deep knowledge of cloud-native infrastructure (Kubernetes, networking), MLOps/LLMOps stacks, vector databases/embedding stores, routing/caching, and identity/risk management
- Strong software engineering skills (Python/TypeScript/Go), infrastructure as code (Terraform), CI/CD, and SRE practices
- Experience implementing governance, compliance, safety guardrails, and AI FinOps (quotas, budgeting, policy enforcement) at the platform layer
- Pragmatic product sense with vendor evaluation and partnership skills; able to decide under ambiguity and collaborate cross-functionally
- Fluency in English
- Familiarity with Machine Learning is a strong advantageRequisitos principales
- hybrid work model
- company bonus scheme
- pension
- employee shares program
- flexible working
- healthcare benefits

📌 Ai Platform Engineer (Barcelona)
🏢 Allianz
📍 Barcelona