Senior AI Platform Architect — MLOps & Cloud

GE Vernova, Inc.; Greenville (AL); On-site; USD 113,000 - 189,000; Full time

Benefits offered by this job

Relocation assistance

Medical, dental, vision & prescription

401(k) with company matching

Tuition assistance

Adoption assistance

Paid parental leave

Disability benefits

Life insurance

12 paid holidays

Permissive time off

Job summary

GE Vernova, Inc. is seeking a Senior AI Architect to define and lead MLOps, DevOps, and cloud architectures for Wind Engineering AI solutions across cloud, edge, and on-premises environments.

The role focuses on production-grade AI delivery pipelines, model lifecycle standards, and observability, with emphasis on secure, auditable, and scalable deployments. Collaboration with Digital/IT, ARC Foundry, and platform teams is essential.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Data Science, or a related technical field.
• Hands-on experience designing, building, and deploying AI/ML solutions in complex technical environments with progression to enterprise 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 across cloud, edge, on-premises, and hybrid environments.
• Establish automated CI/CD and continuous training pipelines for AI-enabled engineering applications.
• Own model lifecycle and production operations standards from development to retirement.
• Build observability, reliability, and drift-management practices for AI systems and pipelines.
• Embed security, governance, and auditability by design into AI platforms and deployments.
• Lead technical transfer to sustained GE Vernova operation with maintainable code and documentation.
• Provide portfolio architecture reviews and escalate risks early.
• Mentor architects and engineers in cloud, MLOps, and production readiness.

Skills

AI/ML production systems

Technical standards

Kubernetes

Terraform

Airflow/Kubeflow

Prometheus/Grafana

Enterprise data platforms

CI/CD

Education

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

Tools

MLflow

Terraform

Airflow

Kubeflow

Prometheus/Grafana

Job description

GE Vernova, Inc. is seeking a Senior AI Architect to define and lead MLOps, DevOps, and cloud architectures for Wind Engineering AI solutions across cloud, edge, and on-premises environments.

The role focuses on production-grade AI delivery pipelines, model lifecycle standards, and observability, with emphasis on secure, auditable, and scalable deployments. Collaboration with Digital/IT, ARC Foundry, and platform teams is essential.