Global AI Prompting Engineer PGTR
Description du poste
Overview
As a Prompt Engineer, you contribute to Hitachi Energy’s ACE platform within the Transformer Business Unit by designing and refining prompts to produce accurate, context-aware outputs. You will own the prompt lifecycle, collaborate with IT, SMEs and stakeholders, and push for governance, traceability and ethics-compliant AI. You’ll experiment with advanced prompting techniques and embed prompts into ACE workflows to drive enterprise-grade results. This role offers the chance to shape how GenAI powers critical transformer industry processes at scale.
Leistungen / Benefits- Competitive salary and incentives
- Well-being and care
- Paid and unpaid leave
- Flexible work options
- Benefits that support your financial security
- Develop, refine, and maintain prompt libraries for various transformer units/factories
- Implement prompt chaining, context injection, and few-shot learning for enterprise-grade accuracy
- Own prompt lifecycle management including versioning, traceability, and governance
- Evaluate LLM responses for precision, compliance, and bias mitigation
- Conduct A/B testing and maintain performance dashboards for prompt effectiveness
- Embed prompts into ACE workflows in collaboration with Module Owners, SMEs, and stakeholders
- Create clear documentation for prompt strategies and maintain best practices aligned with AI Ethics Charter
- Stay updated on emerging GenAI technologies to enhance ACE capabilities
- Implement and recommend best practices for prompting across ACE modules
- Bachelor or Master degree in electrical engineering
- Experience working in the transformer industry with international standards and customer documentation
- Strong problem-solving and analytical thinking
- Linguistic and logical reasoning for crafting precise prompts
- Understanding of NLP, context management, and token optimization
- Hands-on experience with LLMs and prompt engineering techniques
- Willingness to learn Python and AI APIs services
- Ability to work in Agile environments and manage multiple stakeholders
- Excellent communication and collaboration skills
- Analytical mindset with attention to detail
- Commitment to ethical AI practices and continuous learning
- Strong communication and collaboration
- Curiosity and experimentation
- Empathy for end users
- NLP, context management, token optimization
- LLMs and prompt engineering techniques
- Familiarity with AI APIs services
