AI Engineer

Siemens Energy; Raleigh (NC); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Career growth

Supportive culture

Health & wellness benefits

Paid time off

401K with company match

Parental leave

Job summary

Siemens Energy in the United States seeks an Experienced Professional to advance AI-driven digital solutions within Grid Technologies. The role emphasizes prompt engineering, data-driven evaluation, and cross-functional teamwork to meet business needs.

You will apply NLP techniques, curate training data, and tune model parameters to improve outputs and workflows, while documenting standards and integrating systems for scalable AI applications.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Linguistics, or a related technical field.
• 2+ years of professional experience in data science, machine learning, or a closely related AI discipline.
• Ability to apply technical expertise in real-world, production, or applied research environments.

Responsibilities

• Crafting, refining, and optimizing AI prompts using advanced NLP techniques.
• Architecting and implementing prompt engineering and agentic AI strategies.
• Applying machine learning methods, including training data curation and hyperparameter tuning.
• Collaborating cross-functionally with data scientists, product managers, and UX partners.
• Developing and maintaining documentation, standards, and best practices for prompt engineering.

Skills

Python

Machine Learning

NLP

Data Science

Prompt engineering

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Job description

A Snapshot of Your Day

This role is a new addition to the Digital Solutions organization, driven by the WATT Reorg, to enhance the team's capabilities in artificial intelligence. The position will focus on applying advanced prompt engineering techniques to develop and refine AI-driven digital solutions within the Grid Technologies business area. To achieve this, the role is structured around three core areas: advanced prompt engineering to design and control AI language model outputs, including agentic systems; data-driven analysis to evaluate and improve AI system performance; and acting as a key liaison in cross-functional collaboration to ensure AI solutions meet business and user requirements. Given the focus on prompt engineering and model performance, the ideal candidate will possess practical experience as an Experienced Professional (P2) with a strong foundation in machine learning, Python, and Natural Language Processing. The ability to work independently and collaborate effectively with product and design teams is essential.

How You’ll Make an Impact

• Crafting, refining, and optimizing AI prompts using advanced NLP techniques to produce accurate, relevant, and engaging outputs
• Architecting and implementing prompt engineering and agentic AI strategies to guide model behavior and automate complex workflows
• Applying machine learning methods, including training data curation and hyperparameter tuning, to continuously improve AI model performance
• Collaborating cross-functionally with data scientists, product managers, and UX partners to translate business needs into effective AI solutions
• Developing and maintaining documentation, standards, and best practices for prompt engineering, model configuration, and system integration
• Analyzing model performance through data exploration, metrics, and visualization to evaluate effectiveness and communicate insights to stakeholders

What You Bring

• Bachelor’s degree in Computer Science, Data Science, Linguistics, or a related technical field
• 2 or more years of professional experience in data science, machine learning, or a closely related AI discipline. Candidates with more experience can be considered for a higher level or vice-versa
• Demonstrated ability to apply technical expertise in real‑world, production, or applied research environments

Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

About the Team

Grid Technologies

Our Grid Technology division enables a reliable, sustainable, and digital grid! The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Rewards

• Career growth and development opportunities
• Supportive work culture
• Company paid Health and wellness benefits
• Paid Time Off and paid holidays
• 401K savings plan with company match
• Family building benefits & parental leave

https://jobs.siemens-energy.com/jobs

Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Aff… All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.