Lead AI Engineer Digital Service Solutions

The Opportunity

Business Unit Service is at the forefront of delivering advanced digital andoutcomebasedservice solutions worldwide. Our Service R&D organization developsnextgenerationdigital service solutions that leverage IoT cloud platforms data and AI to enablelongtermasset 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 andAIenabledservices are architected governed and integrated as scalable reusable andenterprisereadycomponents embedded intoendtoendservice operations.

This role directlyimpactsthe success of intelligent service operations predictive and prescriptive analytics and AIaugmented decisionmaking where model quality robustness explainability and lifecycle governance are critical for business value and customer trust.

HowYoullMake an Impact

• Defining and owning the AI R&D capability strategy and architecture for digital service solutions covering applied machine learning advanced analytics and LLMbased and agentic AI systems

• Establishing architectural principles and standards aligned withcloudnativedelivery models industrial scalability andlonglifecycleservice solutions

• Translating service and domain needs into AI models use cases andsolutionleveldesigns embedded inendtoendworkflows 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 (Bachelors or Masters) 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 orserviceorientedenvironments

• Strong understanding ofendtoendAI pipelines including data preparation model development deployment and monitoring

• Experience integrating AI intoenterprisescaledigital solutions using cloud platforms microservices andMLOpspractices

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

• Experience working incrossfunctionalenvironments across R&D engineering service and digital organizations

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

• Experience withLLMbasedsystems 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.