AI Adoption & Enablement Intern

A Snapshot of Your Day As an AI Adoption & Enablement Graduate, you will work closely with the DC HUB AI Lead to bring AI into daily business operations. Your day will be hands-on and people-facing: supporting AI training sessions, helping colleagues build real AI-powered solutions, and accelerating business teams to work smarter with AI—safely, responsibly, and at scale. You will play a key role in turning AI strategy into reality, supporting employees across functions to learn, build, and deliver AI use cases that matter. How You’ll Make an Impact - Support AI awareness and training sessions (preparation, delivery, follow-ups) - Coach employees during hands-on AI workshops and practical labs - Help build and implement simple AI use cases (automation, copilots, prompt-based solutions, no-code/low-code) - Support business teams to identify opportunities where AI can improve speed, quality, or productivity - Maintain and update the AI use case pipeline, registry, and learning materials - Act as a first-line AI support contact for employees adopting AI tools - Collaborate with AI Champions and the Regional Expert Circle on scaling solutions What You Bring - Bachelor’s or Master’s degree (or final-year student) in: Computer Science, Data Science, Information Systems, Engineering, or similar - Strong interest and passion for Artificial Intelligence - Practical exposure to Generative AI tools (e.g., Copilot, ChatGPT, automation tools,n8n) - Curiosity and confidence to experiment, build, and learn by doing - Ability to explain technical concepts in a simple, business-friendly way - Comfortable working with people from different functions and backgrounds - Self-driven, proactive, and eager to grow in a fast-evolving AI environment 💡 No deep AI expertise required – strong motivation, hands-on mindset, and learning attitude matter most. About the Team Our Corporate Functions are essential in driving the company's strategic initiatives and ensuring operational excellence across various departments, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external stakeholders, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? 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 - Opportunities to work with a global team - Opportunities to work on and lead a variety of innovative projects - Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs #LI-JG1

Bachelor’s or Master’s degree (or final-year student) in Computer Science, Data Science, Information Systems, Engineering, or similar

Support AI awareness and training sessions (preparation, delivery, follow-ups); coach employees during hands-on AI workshops and practical labs; help build and implement simple AI use cases (automation, copilots, prompt-based solutions, no-code/low-code); support business teams to identify opportunities where AI can improve speed, quality, or productivity; maintain and update the AI use case pipeline, registry, and learning materials; act as a first-line AI support contact for employees adopting AI tools; collaborate with AI Champions and the Regional Expert Circle on scaling solutions