Lead AI Engineer - Digital Service Solutions

Hitachi Vantara Corporation; Kraków; On-site; PLN 250,000 - 420,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Fitness and wellness programs

Work-from-home equipment allowances

Mental health support

Job summary

Hitachi Energy in Kraków seeks a Lead AI Engineer to define and evolve AI capabilities across digital service solutions. You will architect AI models, agentic workflows, and AI-enabled services embedded into end-to-end operations, driving intelligent service performance and decision-making.

You will guide governance of AI lifecycles, ensure explainability and ethical compliance, and collaborate with data platform, cloud, and IT teams to scale AI across the organization.

Qualifications

• University degree in Computer Science, Data Science, Engineering, or related field.
• Proven experience designing or governing applied AI/ML in industrial/IoT/service contexts.
• Strong understanding of end-to-end AI pipelines: data prep, model dev, deployment, monitoring.
• Experience deploying AI in enterprise-scale digital solutions via cloud, microservices, and MLOps.
• Ability to translate AI techniques into actionable, operational outcomes.
• Experience working cross-functionally across R&D, engineering, service, and digital teams.

Responsibilities

• Define and own AI R&D capability strategy and architecture for digital service solutions.
• Establish architecture principles aligned with cloud-native delivery and long-lifecycle services.
• Translate service needs into AI models and workflow designs embedded in end-to-end processes.
• Design and govern AI model lifecycles: framing, validation, deployment, monitoring.
• Ensure AI outputs are actionable, interpretable, and aligned with business goals.
• Lead governance of agentic AI workflows spanning reasoning, orchestration, and automation.
• Collaborate with data/platform/IT teams to support AI with scalable data pipelines.
• Establish controls for AI quality, explainability, and ethical use.

Skills

AI strategy

ML solution design

End-to-end pipelines

Cloud platforms

LLM systems

Cross-functional

Education

BSc/MSc in CS/Engineering

Tools

MLOps tools

Job description

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.

Job 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:

• Private medical care and life insurance
• Access to fitness and wellness programs
• Access to benefits platform with discounts and perks
• Employee Capital Plans (PPK)
• Equipment for working from home or allowances for setting up a workplace at home
• Spectacles and contact lenses allowance
• Company events and team‑building activities
• Psychological support program
• Free parking available

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.