#C40442C8904BDC7ACA8CBEE79113BD08-9e8764
contextual reasoning.
Integrate AI into core power automation workflows:
Establish AI governance, secure data pipelines, and compliance with utility-grade cybersecurity standards.
Partner with engineering managers and subject-matter experts to identify high-value AI automation opportunities.
Develop scalable pipelines for inference, fine-tuning, continuous learning, and lifecycle management in cloud and on-prem environments.
Evaluate and incorporate emerging AI technologies (RAG, vector stores, autonomous agents, internal copilots).
Monitor model performance, accuracy, drift, and cost; lead improvement cycles and risk mitigation.
Train and coach engineering teams on practical AI tools and adoption in daily workflows.
Ensure compliance with GE Vernova global standards, regulatory expectations, and utility-sector requirements.
Required Qualifications
Education
Bachelor's or Master's degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field.
Professional Experience
Hands-on experience with AI/ML development and production deployment.
Proven track record in full product lifecycle: ideation, prototyping, development, operations.
Industrial, energy, or automation domain experience strongly preferred.
Technical Skills
Large Language Models, generative AI, and intelligent agents
Engineering workflow automation
Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
API-driven solution design and MLOps practices
Cloud infrastructure (AWS, Azure, GCP) and on-prem architectures
Data governance and cybersecurity best practices
Languages
Fluent English and Portuguese required
Spanish proficiency preferred
At GE Vernova, we are always searching for great talent. While we might not have a specific job for you today, we want to know about you when we do. As actual openings become available, you may be contacted to discuss a potential opportunity."
Additional Information
Relocation Assistance Provided: No
#LI-Remote - This is a remote position