Lead AI Engineer - Digital Service Solutions

Hitachi Energy; Kraków; On-site; PLN 100,000 - 120,000; Full time

Benefits offered by this job

Competitive benefits for wellbeing

Transparent recruitment process

Job summary

Hitachi Energy in Kraków, Poland is searching for a Lead AI Engineer to drive AI solutions development for digital services. In this role, you will define the AI R&D strategy and ensure AI models are scalable and integrated into service operations.

Candidates should possess a degree in a technical field and experience in designing applied AI/ML solutions. With a focus on collaboration, you will work alongside cross-functional teams to establish guidelines for AI governance and quality.

The opportunity includes competitive benefits aimed at supporting overall wellbeing.

Qualifications

• Proven experience in designing applied AI/ML solutions in industrial environments.
• Strong understanding of end-to-end AI pipelines.
• Ability to translate AI techniques into operationally relevant outcomes.

Responsibilities

• Defining and owning the AI R&D capability strategy.
• Establishing architectural principles for AI solutions.
• Leading the design and governance of AI workflows.

Skills

Designing AI solutions

Applied machine learning

Advanced analytics

Cloud platforms

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

MLOps practices

AI governance frameworks

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

We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.

We can provide more information during the recruitment process.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.

Publication date : 2026-06-16