Job Description Summary
The Senior AI Architect, MLOps / DevOps / Cloud Engineering is an enterprise technical authority responsible for defining how AI solutions are productionized, deployed, operated, monitored, secured, and continuously improved across Wind Engineering.

Building on the broader Senior AI Architect mandate, this role provides specialized leadership in MLOps, DevOps, cloud and hybrid infrastructure, distributed AI systems, CI/CD, observability, model lifecycle management, and production reliability. The role establishes the architectures, engineering practices, reusable components, and operational standards required to move AI models and workflows from experimentation into reliable, maintainable, and scalable engineering products.

This person partners closely with Digital/IT, ARC Foundry, enterprise platform teams, AI engineers, data engineers, and Embedded AI Architects to ensure solutions use approved infrastructure and integration patterns, are designed for sustainable operation, and can transition into GE Vernova ownership without dependence on fragile code,



undocumented environments, or external support.

Job Description
Key Responsibilities:
1. Define the MLOps, DevOps, and Cloud Architecture for Wind Engineering AI
• Define and maintain reference architectures for deploying and operating AI solutions across cloud, edge, on-premises, and hybrid environments.
• Define how AI workloads use enterprise environments, including approved cloud services, container platforms, model repositories, data platforms, APIs, engineering applications, and authentication services.

• Make architecture decisions across cloud, edge, and on-premises execution based on data sensitivity, latency, compute demand, cost, reliability, and engineering workflow requirements.

2. Establish Production-Grade AI Delivery Pipelines
• Design standardized CI/CD and continuous training patterns for AI-enabled engineering applications.

• Establish automated pipelines for code bu

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