Remote Senior Gen AI Architect for Grid Automation

GE Vernova, Inc.; Markham; Remote; CAD 126,000 - 189,000; Full time

Job summary

GE Vernova, Inc. is seeking a Senior AI/ML Applications Architect to lead design, development, and deployment of advanced AI/ML, generative AI, and agentic AI solutions for grid automation.

You will guide product and engineering teams on architecture, promote modular microservices, and ensure secure, scalable systems across edge and cloud deployments. The role collaborates with Grid Automation CTO teams and requires 7+ years in AI/ML, cloud experience (AWS/Azure/GCP), and strong Python/C++

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or related technical field.
• 7+ years of experience in software engineering, AI/ML development, and/or solution architecture.
• Hands-on experience building/architecting generative and agentic AI solutions on cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design and architect scalable AI/ML solutions including generative AI and agentic AI for grid automation and product-line use cases.
• Ensure performance across edge and cloud deployment environments.
• Define and implement monitoring, observability, and guardrails for AI/ML solutions, including safety and bias controls.
• Develop proofs of concept and enable production deployment of models across edge and cloud environments.

Skills

AI/ML architecture

Generative AI

Edge computing

Cloud platforms

MLOps

Python

C++

Docker

Kubernetes

AWS

Azure

GCP

Education

Bachelor's degree in Computer Science / Electrical Engineering / Data Science

Tools

TensorFlow

PyTorch

scikit-learn

MATLAB

PowerFactory

Docker

Kubernetes

Job description

GE Vernova, Inc. is seeking a Senior AI/ML Applications Architect to lead design, development, and deployment of advanced AI/ML, generative AI, and agentic AI solutions for grid automation.

You will guide product and engineering teams on architecture, promote modular microservices, and ensure secure, scalable systems across edge and cloud deployments. The role collaborates with Grid Automation CTO teams and requires 7+ years in AI/ML, cloud experience (AWS/Azure/GCP), and strong Python/C++