Principal Engineer - AI Engineering

About the role

GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses.

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers collaborate with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects.

Responsibilities

• Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.
• Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.
• Work closely with software developers to integrate LLM solutions into existing or new applications.
• Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.
• Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
• Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
• Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.

Requirements

• 10+ years of relevant experience and a Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
• Willing to work out of an office located in Niskayuna, NY or Cambridge, MA.

For Cambridge, MA-based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows senior talent to establish a strong technical foundation, collaborate with premier scientists and engineers, and align with our mission. Travel, housing, and living stipend provided.

Ideal Candidate Characteristics

• PhD degree in Computer Science, AI, ML, Engineering, Data Science, or related field.
• 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
• 5+ years of experience with Python or other programming languages commonly used in AI/ML development.
• Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
• Previous experience or internships involving NLP or machine learning projects.
• Familiarity with version control systems like Git.
• Understanding of traditional industry operations and challenges.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a team environment and adapt to changing project requirements.

Benefits

• Medical, dental, vision, and prescription drug coverage.
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling, and referral services.
• GE Vernova Retirement Savings Plan, including company matching contributions and company retirement contributions.
• Access to Fidelity resources and financial planning consultants.
• Tuition assistance and adoption assistance.
• Paid parental leave, disability benefits, and life insurance.
• 12 paid holidays and permissive time off.

Pay

For candidates applying to a U.S.-based position, the pay range is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120%, or 130% of salary in certain areas. The specific pay offered may be influenced by the candidate’s experience, education, and skill set. Bonus eligibility includes a discretionary annual bonus.