AI Engineer

GE Vernova is hiring an entry-level AI Engineer to help design, build, integrate, and operate AI-enabled applications that support engineering and industrial use cases. The role spans software, machine learning, and data interfaces, partnering with data and domain teams to move from prototypes to maintainable solutions.

What you’ll do

• 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.
• Turn Data Scientist prototypes into modular, readable, and testable software components.
• Implement evaluation, validation, logging, monitoring, and feedback mechanisms to make solution quality and reliability visible.
• Use Git, code reviews, automated testing, documentation, and continuous integration 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 ensure AI tools fit 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.

Required qualifications

• Recent graduate with a Bachelor’s or Master’s Degree in Computer Science or STEM majors (Science, Technology, Engineering and Math).
• 0-1 year of related experience in STEM.
• 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.

Preferred exposure

• Experience with 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.

Technologies you may work with

• Python, Git, PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, Semantic Kernel, SQL, REST APIs, Docker, Kubernetes, CI/CD, MLflow

Compensation and location

• Location: Greenville, SC (onsite)
• Salary: USD 73,600 - 110,400 per year
• Relocation assistance: available
• Pay range note: For candidates applying to a U.S.-based position, the pay range is between $73,600.00 and $110,400.00.
• Bonus: discretionary annual bonus

Benefits

• Medical, dental, vision, and prescription drug coverage
• Access to Health Coach from GE Vernova (24/7 nurse-based resource)
• Access to the Employee Assistance Program (24/7 confidential assessment, counseling and referral services)
• GE Vernova Retirement Savings Plan (tax-advantaged 401(k) with company matching contributions and company retirement contributions)
• Tuition assistance
• Adoption assistance
• Paid parental leave
• Disability benefits
• Life insurance
• 12 paid holidays
• Permissive time off
• Access to Fidelity resources and financial planning consultants

Eligibility requirements

• This role requires access to U.S. export-controlled information. Final offers will be contingent on the ability to obtain authorization for access from the U.S. Government, if applicable.
• Unrestricted work authorization to work in the United States of America is required. Sponsorship is not provided for this role now or in the future.

This posting is expected to remain open for at least seven days after it was posted on October 27, 2026.