AI Experimentation Engineer

Hitachi Energy Ltd.; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary packages

Well-being and care

Paid and unpaid leave

Flexible work options

Financial security benefits

Job summary

Hitachi Energy Ltd. is seeking an AI Experimentation Engineer within the Data, Analytics & Artificial Intelligence (DAAI) organization. You turn AI opportunities into feasibility experiments, comparative evaluations, demonstrators and technical spikes to inform architecture and platform decisions.

Design time-boxed experiments, build prototypes, and conduct fair evaluations of models, services and vendors. You will document results and collaborate with AI Research Engineer and AI Opportunity

Qualifications

• 3+ years of experience in AI/ML experimentation and prototyping.
• Experience evaluating LLMs, ML models, AI services or integrations.
• Fluent English and strong communication; report results clearly and honestly.

Responsibilities

• Design and run time-boxed experiments and technical spikes against learning questions.
• Build prototypes, test harnesses, reference implementations and integrations.
• Conduct fair comparative evaluations of AI models, services, frameworks and vendor options.
• Create early demonstrators to make new AI capabilities tangible for stakeholders.
• Document methods, results and constraints with reproducible assets.
• Collaborate with AI Research Engineer and AI Opportunity Lead; provide evidence to architecture and platform teams.

Skills

AI/ML experimentation

Prototyping

Software engineering

Data science

Communication

Education

Bachelor's degree or equivalent practical experience

CS/Data Science/Engineering degree advantageous

Job description

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.
• 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.

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.

We are a global leader in electrification, powering the electricity era to meet the energy demands of today, and the next 25 years. As the energy arm of Hitachi Group, over three billion people depend on our pioneering, mission-critical technologies to power their daily lives.

With over a century of innovation, we are addressing the most urgent energy challenge of our time: driving the evolution of the world’s energy system to ensure abundant, secure, affordable, and sustainable power for today’s generation and the next.

With an unparalleled installed base in over 140 countries, we are the grid ecosystem partner across the utility, industry, data center, and transportation sectors. Headquartered in Switzerland, we employ over 56,000 people in 60 countries and generate revenues of around $20 billion USD.