AI Engineer

GE Vernova

Greenville, United States

Full Time

Posted September 10, 2026

$70k - $70k

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Job Description

As an entry-level AI Engineer, you will help design, build, integrate and operate AI-enabled applications for engineering and industrial use cases.

Key Responsibilities

Build and test AI-enabled applications, APIs, model services, automation workflows and user-facing tools under guidance from experienced engineers.
Integrate machine-learning or generative-AI capabilities with approved data sources, engineering tools and enterprise platforms.
Translate Data Scientist prototypes into modular, readable and testable software components.
Implement evaluation, validation, logging, monitoring and feedback mechanisms so solution quality and reliability are visible.
Use Git, code reviews, automated testing, documentation and continuous integration practices to support maintainable delivery.
Package and deploy workloads using approved cloud, container and orchestration patterns; troubleshoot issues across development and test environments.
Improve model or workflow performance through experimentation, prompt or retrieval design, optimization and careful measurement.
Collaborate with end users and subject-matter experts to make AI tools useful in day-to-day engineering workflows.
Follow cybersecurity, privacy, intellectual property, software quality and Responsible AI requirements throughout the lifecycle.
Share reusable components, lessons learned and technical documentation with the broader AI engineering community.

Requirements

Bachelor's degree completed by the start date in Computer Science, Software Engineering, Computer Engineering, Data Science, Engineering, Applied Mathematics or a related technical field.
Programming experience in Python and familiarity with at least one additional language or software-development ecosystem.
Foundational understanding of machine learning, data structures, algorithms, APIs and software testing.
Experience using Git and building a working software or AI project through coursework, research, internships, co-ops, hackathons, open-source work or an independent portfolio.
Ability to diagnose technical problems, learn unfamiliar tools and communicate tradeoffs clearly.
Demonstrated teamwork, ownership, curiosity and attention to quality.
Exposure to PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, Semantic Kernel or comparable AI frameworks.
Exposure to retrieval-augmented generation, AI agents, vector search, model evaluation or prompt engineering.
Familiarity with SQL, REST APIs, cloud services, Docker, Kubernetes, CI/CD, MLflow or observability tools.
Experience with distributed or GPU computing, optimization, surrogate models, simulation workflows or scientific computing.
Interest in renewable energy, industrial software, physical systems, manufacturing or engineering applications.
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).