Experteer Overview In this role, you define how AI solutions are productionized across cloud, edge, and on‑prem environments, leading MLOps and Dev

Ops practices for Wind Engineering.

You own reference architectures, pipelines, and governance to deliver reliable, scalable AI products.

You partner with cross‑functional teams to ensure sustainable operation and enterprise integration.

You will shape production‑ready AI platforms and drive lifecycle management, observability, and security at scale.

This is a high‑impact, architecture‑driven role with a clear path to GE Vernova ownership of AI solutions.

Compensaciones / Incentivos• Define MLOps, Dev

Ops, and Cloud Architecture for deployment and operation across cloud, edge, on‑premises, and hybrid environments• Establish standardized CI/CD and continuous training pipelines for AI-enabled engineering apps• Set model lifecycle standards: registration, versioning, provenance, performance baselines, and release history• Define observability, performance baselines, SLAs, alerting, and incident response for production AI systems• Incorporate security, governance, access control, secrets management,



and data protection into architectures• Assess readiness for transfer of AI applications to sustained GE Vernova operation and ensure maintainable code and clear ownership• Provide portfolio architecture reviews, identify production risks early, and guide scalable design• Mentor AI Architects and engineering teams in cloud, MLOps, observability, and production‑readiness practices

Responsabilidades• Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Data Science, or related field; advanced degree strongly preferred• Hands-on experience designing, building, and deploying AI/ML solutions in enterprise environments• Experience defining standards, reference architectures, and design practices across AI portfolios• Familiarity with production AI systems and tools (Kubernetes, MLflow or similar registries, Terraform, Airflow/Kubeflow, Prometheus/Grafana)• Proven ability to collaborate with Digital/IT, platform teams, governance stakeholders

Requisitos principales• medical insurance• dental insurance• vision insurance• retirement plan• tuition assistance• paid parental leave

📌 Senior AI Architect (Barcelona)
🏢 GE Vernova
📍 Barcelona