Senior AI Architect

Senior AI Architect, MLOps / DevOps / Cloud Engineering

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.

Key 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

Required 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.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes.