Lead AI Engineer - Digital Service Solutions

The Opportunity

Business Unit Service is at the forefront of delivering advanced digital andoutcome‑basedservice solutions worldwide. Our Service R&D organization developsnext‑generationdigital service solutions that leverage IoT, cloud platforms, data, and AI to enablelong‑termasset performance, reliability, and operational excellence across the energy and industrial domain.

AsLeadAIEngineer, you will play a key role in defining and evolving AI capabilities across digital service solutions. You will ensure that AI models, agentic workflows, andAI‑enabledservices are architected, governed, and integrated as scalable, reusable, andenterprise‑readycomponents embedded intoend‑to‑endservice operations.

This role directlyimpactsthe 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.

HowYou’llMake 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 withcloud‑nativedelivery models, industrial scalability, andlong‑lifecycleservice solutions

• Translating service and domain needs into AI models, use cases, andsolution‑leveldesigns embedded inend‑to‑endworkflows 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 toAI portfolio alignment, reuse, and standardization across solutions to reduce fragmentation and accelerate value realization

• Acting as a technical authority and trusted advisor, guiding architecturedecisionsand 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, orservice‑orientedenvironments

• Strong understanding ofend‑to‑endAI pipelines, including data preparation, model development, deployment, and monitoring

• Experience integrating AI intoenterprise‑scaledigital solutions using cloud platforms, microservices, andMLOpspractices

• Ability to translate AI techniques into interpretable, operationally relevant outcomes aligned with service and domain needs

• Experience working incross‑functionalenvironments across R&D, engineering, service, and digital organizations

• Strong communicationskills and ability to influence architecture and solution decisions across stakeholders

• Experience withLLM‑basedsystems, 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.