AI & LLM Engineer
GE Vernova (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 25–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead strategy, architecture, and implementation of AI and Large Language Model (LLM) solutions across Engineering, Operations, and Project Delivery.
- Develop and maintain LLM-based agents for processing technical documentation, automating design validation, engineering workflows, and knowledge retrieval.
- Ensure secure, scalable AI integration within power automation workflows, maintaining compliance with utility-grade cybersecurity and regulatory standards.
Minimum Requirements
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field.
- Hands-on experience with AI/ML development and production deployment across full product lifecycle (ideation to operations).
- Industrial, energy, or automation domain experience strongly preferred.
- Relocation assistance provided; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrated ability to lead cross-functional AI solution architecture and deployment in engineering-heavy or utility environments.
- Deep technical expertise with Large Language Models, generative AI, Python, ML frameworks (PyTorch, TensorFlow), and cloud/on-prem infrastructure.
- Experience in developing scalable AI pipelines with strong focus on governance, cybersecurity, and compliance within regulated, industrial contexts.