Senior Principal AI Engineer: LLM Prompt Architect

LS3002 GE Vernova Operations LLC

Cambridge (MA)

On-site

USD 152,000 - 254,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance
Discretionary annual bonus
Health benefits
Retirement savings plan
Tuition assistance
Parental leave
Life insurance
Paid holidays

Job summary

GE Vernova seeks a Senior Principal AI Engineer to design and optimize prompts for LLMs, collaborating with domain experts and end users to deliver software solutions across internal and external needs. The role focuses on scalable prompt frameworks, integration with development teams, and ongoing improvement through user feedback.

Ideal candidates have 10+ years of AI/ML experience, a relevant Bachelor's degree, and strong Python/PyTorch tooling skills.

Qualifications

  • 10+ years of relevant experience in AI/ML
  • Bachelor's degree in Computer Science, AI, ML, or related fields required
  • Master’s or PhD preferred for senior talent

Responsibilities

  • Collaborate with domain experts to translate business needs into clear LLM prompts.
  • Develop, test, and refine prompts for diverse use cases.
  • Integrate LLM solutions into existing or new applications with software teams.
  • Contribute to scalable prompt engineering framework across units.
  • Gather user feedback to improve prompt effectiveness.
  • Stay updated on LLM advancements and guide tool/platform choices.
  • Document prompt engineering processes and outcomes.

Skills

Prompt engineering
LLM prompts design
Python programming
PyTorch
NLP

Education

Bachelor's degree in CS/AI/ML or related field
Master’s or PhD preferred

Tools

OpenAI GPT models
Hugging Face
Python
PyTorch
Pandas
NumPy

Job description

GE Vernova seeks a Senior Principal AI Engineer to design and optimize prompts for LLMs, collaborating with domain experts and end users to deliver software solutions across internal and external needs. The role focuses on scalable prompt frameworks, integration with development teams, and ongoing improvement through user feedback.

Ideal candidates have 10+ years of AI/ML experience, a relevant Bachelor's degree, and strong Python/PyTorch tooling skills.

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