Lead AI Engineer - Digital Service Solutions

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.