Design, build, integrate, and operate AI-enabled applications for engineering and industrial use cases in a hands-on entry-level role.

Build and test AI-enabled applications, including APIs, model services, automation workflows, and user-facing tools under guidance from experienced engineers
Integrate machine-learning and generative-AI capabilities with approved data sources, engineering tools, and enterprise platforms
Convert 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
Support maintainable delivery using Git, code reviews, automated testing, documentation, and CI practices
Package and deploy workloads using approved cloud, container, and orchestration patterns; troubleshoot issues across development and test environments
Improve model/workflow performance through experimentation, prompt or retrieval design, optimization, and measurement
Partner with end users and subject-matter experts to make AI tools useful in day-to-day engineering workflows
Apply 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

Recent graduate with a Bachelor’s or Master’s Degree in Computer Science or “STEM” majors (Science, Technology, Engineering and Math)
0 to 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

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
Discretionary annual bonus
Access to Fidelity resources and financial planning consultants

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

Role requires access to U.S. export-controlled information; final offers are contingent on ability to obtain authorization from the U.S. Government (if applicable)
Work location: Greenville, SC (relocation assistance available)
Unrestricted work authorization to work in the United States is required; sponsorship is not provided

Location: Greenville, SC (onsite)

Salary: USD 73,600 - 110,400 per year

Relocation Assistance: Yes

Bonus: Discretionary annual bonus

Application Window: Expected to remain open for at least seven days after October 27, 2026

AI Engineer

Job Description