Sobre esta vaga de Lead AI Engineer - Digital Service Solutions na Hitachi
Location:
Krakow, Lesser Poland, PolandJob ID:
R0131075Date Posted:
2026-06-16Company Name:
HITACHI ENERGY POLAND SP. Z O.O.Profession (Job Category):
Engineering & ScienceJob Schedule:
Full timeRemote:
NoJob Description:
The Opportunity
Business Unit Service is at the forefront of delivering advanced digital and outcome‑based service solutions worldwide. Our Service R&D organization develops next‑generation digital service solutions that leverage IoT, cloud platforms, data, and AI to enable long‑term asset performance, reliability, and operational excellence across the energy and industrial domain.
As Lead AI Engineer, you will play a key role in defining and evolving AI capabilities across digital service solutions. You will ensure that AI models, agentic workflows, and AI‑enabled services are architected, governed, and integrated as scalable, reusable, and enterprise‑ready components embedded into end‑to‑end service operations.
This role directly impacts the success of intelligent service operations, predictive and prescriptive analytics, and AI‑augmented decision‑making, where model quality, robustness, explainability, and lifecycle governance are critical for business value and customer trust.
How You’ll Make an Impact
Defining and owning the AI R&D capability strategy and architecture for digital service solutions, covering applied machine learning, advanced analytics, and LLM‑based and agentic AI systems
Establishing architectural principles and standards aligned with cloud‑native delivery models, industrial scalability, and long‑lifecycle service solutions
Translating service and domain needs into AI models, use cases, and solution‑level designs embedded in end‑to‑end workflows and decision processes
Designing and governing AI model lifecycles, including problem framing, validation, deployment, monitoring, and controlled evolution
Ensuring AI outputs are actionable, interpretable, and aligned with operational realities and business objectives
Leading the design and governance of agentic AI workflows that combine reasoning, orchestration, and automation across service operations
Collaborating with data platform, digital platform, and IT teams to ensure AI solutions are supported by scalable data pipelines, feature management, and analytics services
Establishing principles and controls for AI quality, explainability, bias mitigation, and ethical use aligned with regulatory and industrial requirements
Contributing to AI portfolio alignment, reuse, and standardization across solutions to reduce fragmentation and accelerate value realization
Acting as a technical authority and trusted advisor, guiding architecture decisions and supporting capability development across Service R&D
Your Background
University degree (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, or a related technical field
Proven experience in designing, implementing, or governing applied AI/ML solutions in industrial, IoT, or service‑oriented environments
Strong understanding of end‑to‑end AI pipelines, including data preparation, model development, deployment, and monitoring
Experience integrating AI into enterprise‑scale digital solutions using cloud platforms, microservices, and MLOps practices
Ability to translate AI techniques into interpretable, operationally relevant outcomes aligned with service and domain needs
Experience working in cross‑functional environments across R&D, engineering, service, and digital organizations
Strong communication skills and ability to influence architecture and solution decisions across stakeholders
Experience with LLM‑based systems, agentic AI, or advanced analytics platforms is an advantage
Familiarity with AI governance, ethics, compliance, and regulated industrial environments is meriting
More About Us
At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives.
Our benefits offering for this role generally includes:
Add if applicable: additional benefits may apply depending on the role, grade, and business requirements.
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.
