Siemens Energy

• Design and document end-to-end, system-independent AI solution architectures for HR processes, incorporating both in-application and custom-built AI components as well as develop and establish operational plans and technical standards for AI initiatives within the HR systems landscape, in line with P5 expert-level responsibilities 
• Evaluate emerging AI technologies, platforms, and models to recommend and implement solutions that enhance HR process efficiency and employee experience
• Lead the strategic planning for integrating data flows, AI agents, and information sources to create cohesive and scalable AI-driven HR solutions
• Oversee the development, configuration, and deployment of AI models and agents, ensuring alignment with architectural designs and business requirements
• Architect and manage the integration of AI solutions with existing HR systems and data platforms, ensuring seamless data flow and integrity
• Define and implement the full systems development life cycle (SDLC) for AI applications, including automated testing, deployment, maintenance, and enhancement using CI/CD and DevOps principles
• Collaborate with HR business partners and process owners to translate business needs into technical requirements and identify opportunities for AI-driven improvements as well as communicate complex technical concepts, project roadmaps, and strategic recommendations effectively to senior leadership and non-technical stakeholders
• Analyze existing HR workflows to define how AI can be applied to optimize key processes, improve decision-making, and deliver tangible business value

• Master's or Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
• Extensive professional experience as a Solution Architect or in a similar senior IT role, with a proven track record of designing and implementing enterprise-scale AI/ML solutions.
• Recognized mastery in the professional discipline, with experience establishing operational plans and influencing functional results as expected at an Expert Professional (P5) level.
• Experience in AI & Cloud Architecture like AI Solution Design, Microservices, Microsoft Azure, Amazon Web Services and RESTful API
• Experience in Software Development & Integration like Python (Programming Language), SQL (Programming Language), Systems Development Life Cycle, DevOps and CI/CD
• Experience in Process & Collaboration, Agile Methodology, Workflow Management, Troubleshooting (Problem Solving) and Stakeholder Management 

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
• In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical