AI Engineer
Greenville, NC - USA
Job Summary
- 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.
- Bachelors 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 offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is anEqual 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.
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
Required Experience:
IC
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.