Bachelor's degree in Computer Science, Data Science, Linguistics, or a related technical field
2+ years of experience in data science, machine learning, or related AI discipline; more experienced candidates considered for higher level
Practical experience in production environments or applied research
Strong foundation in machine learning techniques
Proficiency with Python and Natural Language Processing (NLP)
Responsibilities
Craft and optimize AI prompts using advanced NLP techniques
Architect and implement prompt engineering and agentic AI strategies
Apply machine learning methods to improve AI model performance
Collaborate cross-functionally to translate business needs into AI solutions
Develop documentation and best practices for prompt engineering and model configuration
Analyze model performance and communicate insights to stakeholders
Benefits
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 and parental leave
Full 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.
