Experienced Solution Architect (AI)

As an AI Solution Architect in the Applied AI Solutions team, you will use the range of statistical, machine learning and LLM techniques, tools, models and agents ('AI') to enable digital finance operations by automation. You'll work closely with product managers, other data and AI engineers and finance experts/stakeholders to prototype, build and test scalable, production-ready AI solutions. You will be a key contributor to Siemens Energy finance center of excellence for applied AI and automation. You will design and implement intelligent automation solutions that enhance finance operations, working closely with product owners, AI and data engineers, and business stakeholders. Your day will involve translating business needs into scalable technical architectures, integrating AI and automation technologies into core finance processes. How You'll Make an Impact

• Leadership in architectural design across multiple AI solutions to ensure technical excellence and scalability
• Definition of technical requirements for automation in collaboration with stakeholders and product managers
• Design of end-to-end cloud architectures with expert recommendations, best practices, and state-of-the-art technologies
• Collaboration with product, AI, and data engineering teams for solution development, guidance, and troubleshooting
• Creation of reusable architectural components to accelerate delivery and innovation
• Assurance of IT security, data privacy, and audit compliance within Agile development environments

Do you have experience in Python?, Do you have a Master's degree?, * University degree in Computer Science, Data Science, Engineering, or a related technical field

• Deep expertise in secure, modern cloud and data architectures, including AWS, Snowflake, and containerization technologies
• Proven experience in defining and implementing AI, machine learning, and LLM-based architectures in development and production
• Advantageous experience in corporate finance environments and hands-on back-end engineering using Python
• Strong decision-making ability within enterprise architectural, budgetary, and resource constraints, including technical team leadership
• Solid understanding of Agile principles and practical experience in iterative, collaborative project delivery

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. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits * 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