Senior AI MLOps & Cloud Architect

Jobs2Web; Barcelona; On-site; EUR 101,000 - 169,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE Vernova seeks a Senior AI Architect to lead MLOps, DevOps, and cloud architecture for production AI across cloud and edge environments. You will define reference architectures, establish standardized pipelines, and govern model lifecycles and observability.

You will collaborate with cross‑functional teams to ensure secure, scalable, and maintainable AI systems, driving production readiness and enterprise adoption.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Data Science, or a related technical field; advanced degree strongly preferred.
• Significant hands‑on experience designing, building, and deploying AI or machine learning solutions in complex technical environments, with demonstrated progression to enterprise‑level architecture responsibilities.
• Experience defining technical standards, reference architectures, and design practices across a portfolio of AI solutions.
• Familiarity with AI/ML systems in production (e.g., Kubernetes, MLflow or similar registries, Terraform, Airflow/Kubeflow, Prometheus/Grafana) and enterprise data platforms.

Responsibilities

• Define the MLOps, DevOps, and Cloud Architecture for Wind Engineering AI.
• Establish Production-Grade AI Delivery Pipelines.
• Own Model Lifecycle and Production Operations Standards.
• Build AI Observability, Reliability, and Drift-Management Practices.
• Embed Security, Governance, and Auditability by Design.
• Lead Technical Transfer and Sustainable GE Vernova Ownership.
• Provide Portfolio Architecture Review and Technical Escalation.
• Mentor Architects and Raise Production Engineering Capability.

Skills

Ability to partner effectively with AI

Strong communication skills

Experience mentoring AI engineering

Ownership mindset

Education

Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Data Science, or related technical field

Tools

Kubernetes

MLflow

Terraform

Airflow/Kubeflow

Prometheus/Grafana

Job description

GE Vernova seeks a Senior AI Architect to lead MLOps, DevOps, and cloud architecture for production AI across cloud and edge environments. You will define reference architectures, establish standardized pipelines, and govern model lifecycles and observability.

You will collaborate with cross‑functional teams to ensure secure, scalable, and maintainable AI systems, driving production readiness and enterprise adoption.