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The opportunity

Perform the hands-on experimental work that shows whether promising AI technologies hold up under realistic conditions. As AI Experimentation Engineer in the Technology Validation team, part of Hitachi Energy's Data, Analytics & Artificial Intelligence (DAAI) organization, you turn selected AI opportunities into feasibility experiments, comparative evaluations, demonstrators and technical spikes. Your evidence gives architecture, platform and delivery teams what they need before they commit to a technology. The team builds to learn and demonstrate, not to operate production systems.

How you will make an impact

• Design and run time-boxed experiments and technical spikes against clear learning questions, testing first the assumption most likely to change the conclusion.
• Build prototypes, test harnesses, reference implementations and integrations, proportionate to the question and under sufficiently realistic conditions.
• Conduct fair comparative evaluations of AI models, LLMs, services, frameworks and vendor options, using a baseline or alternative where it strengthens the conclusion.
• Create early demonstrators that make new AI capabilities tangible for stakeholders, even before a business owner has been identified.
• Document method, results and constraints concisely. Maintain reproducible, reusable technical assets.
• Collaborate with the AI Research Engineer and AI Opportunity Lead. Provide evidence, demonstrations and constraints to DAAI Architecture, AI Platform Operations, AI Acceleration and AI Delivery without taking on delivery or product ownership.

Your background

• A genuine passion for AI: you try new tools and models on your own initiative and can show a recent example of something you built or tried.
• 3+ years of experience in AI/ML experimentation, prototyping, software engineering, data science or applied AI.
• Strong hands-on programming skills (Python preferred, other languages such as JavaScript or TypeScript welcome) and the ability to build working prototypes quickly, using AI coding assistants where useful. Familiarity with cloud AI platforms (Azure preferred, GCP or AWS) is an advantage.
• Experience evaluating LLMs, ML models, AI services or integrations. You can run a time-boxed experiment, turn the findings into a decision and stop when more work would not change it.
• Intellectual honesty and clear communication: you report negative results as clearly as positive ones and explain limits to non-technical audiences.
• Bachelor's degree or equivalent practical experience and fluent English. A degree in computer science, data science or engineering is an advantage.

The final offer will be based on candidate location, skills and qualifications, experience, and aligned with internal pay structures.​

​This role may be open in multiple locations. If the salary information listed is not applicable for your current home location, salary details relevant to your location will be discussed with you at a later stage.​

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Our benefit offering is tailored based on your country of employment and generally includes:​

• Competitive salary and incentives​
• Well-being and care ​
• Paid and unpaid leave​
• Flexible work options ​
• Benefits that support your financial security​

You will receive more specific information during the recruitment process.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.