
GE Vernova AI Engineer
Greenville, SCJob$74–110K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The entry-level AI Engineer helps design, build, integrate, and operate AI-enabled applications for engineering and industrial use cases. The role works across software, machine learning, and data interfaces with data scientists, engineers, software teams, and domain experts. It is designed for a recent graduate who enjoys building working systems, learning new technologies, and turning prototypes into maintainable solutions.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Description Summary
As an entry-level AI Engineer, you will help design, build, integrate and operate AI-enabled applications for engineering and industrial use cases. You will work across software, machine learning and data interfaces, partnering with Data Scientists, Data Engineers, software teams and domain experts. This role is designed for a recent graduate who enjoys building working systems, learning new technologies and turning prototypes into maintainable solutions.
Job Description
Roles and Responsibilities
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Build and test AI-enabled applications, APIs, model services, automation workflows and user-facing tools under guidance from experienced engineers.
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Integrate machine-learning or generative-AI capabilities with approved data sources, engineering tools and enterprise platforms.
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Translate Data Scientist prototypes into modular, readable and testable software components.
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Implement evaluation, validation, logging, monitoring and feedback mechanisms so solution quality and reliability are visible.
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Use Git, code reviews, automated testing, documentation and continuous integration practices to support maintainable delivery.
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Package and deploy workloads using approved cloud, container and orchestration patterns; troubleshoot issues across development and test environments.
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Improve model or workflow performance through experimentation, prompt or retrieval design, optimization and careful measurement.
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Collaborate with end users and subject-matter experts to make AI tools useful in day-to-day engineering workflows.
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Follow cybersecurity, privacy, intellectual property, software quality and Responsible AI requirements throughout the lifecycle.
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Share reusable components, lessons learned and technical documentation with the broader AI engineering community.
Required Qualifications
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Recent graduate with a Bachelor's or Master's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)
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0-1 year of related experience in STEM
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Programming experience in Python and familiarity with at least one additional language or software-development ecosystem.
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Foundational understanding of machine learning, data structures, algorithms, APIs and software testing.
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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.
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Ability to diagnose technical problems, learn unfamiliar tools and communicate tradeoffs clearly.
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Demonstrated teamwork, ownership, curiosity and attention to quality
Desired Characteristics:
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Exposure to PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, Semantic Kernel or comparable AI frameworks.
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Exposure to retrieval-augmented generation, AI agents, vector search, model evaluation or prompt engineering.
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Familiarity with SQL, REST APIs, cloud services, Docker, Kubernetes, CI/CD, MLflow or observability tools.
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Experience with distributed or GPU computing, optimization, surrogate models, simulation workflows or scientific computing.
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Interest in renewable energy, industrial software, physical systems, manufacturing or engineering applications.
Eligibility Requirements:
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This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
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The required work location is Greenville, SC (relocation assistance is available)
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Unrestricted work authorization to work in the United States of America is required. We will not provide sponsorship for this role now or in the future.
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
Additional Information
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088\_EEOC\_KnowYourRights\_10\_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $73,600.00 and $110,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on October 27, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
How this job compares
Set against the 7,053 open AI Engineer jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This posting$74–110K/yr
- South Carolina median$107–212K/yr41 salary ranges
- US median$133–241K/yr5,855 salary ranges
This range's midpoint, $92K, is 44% below the South Carolina median midpoint ($166K) — in the lowest quarter of AI Engineer salary ranges in South Carolina.
- Openings
- Olive Jobs lists 47 open AI Engineer jobs in South Carolina and 7,053 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for no prior experience — less than three in four AI Engineer postings that state a minimum ask for (median 5 years, across 6,084 postings).
- Education
- 3,347 of the 7,053 open AI Engineer jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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