Tech Lead AI & APIs for Energy and Sustainability Management | Tech Lead (f/m/d) AI & APIs for energy and sustainability management

Siemens AG

Nürnberg, Mittelfranken, Bayern, Deutschland
Published Apr 15, 2026
Full-time
No information

Job Summary

As a Tech Lead at Siemens Smart Infrastructure, you will spearhead the development of AI-driven solutions and APIs designed to revolutionize energy and sustainability management. Your day-to-day involves building recommender systems for grid operators, forecasting renewable energy production, and optimizing energy consumption for industrial facilities. You will act as a technical mentor, guiding an interdisciplinary team through hands-on development, code reviews, and architectural decision-making to ensure scalable and maintainable software. This role is unique for its direct impact on global carbon neutrality, allowing you to tackle complex problems across the energy value chain. You will collaborate closely with product managers and data scientists to align technical roadmaps with product visions, ensuring Siemens' grid offerings have access to high-quality data like weather and energy pricing. The position offers a high degree of flexibility with mobile working options and a focus on professional development within a world-leading technology firm.

Required Skills

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees or certifications in Machine Learning, Data Analytics, or Software Architecture are a plus.

Experience

  • 10+ years of experience in software development
  • Professional experience in Python and Java development
  • Proven track record in building and deploying machine learning and data pipelines via APIs
  • Proven experience in leading technical teams, preferably in agile or Scrum environments
  • Hands-on experience developing data-driven applications on AWS
  • Experience in the energy sector or sustainability projects is preferred

Languages

German (Basic)English (Fluent)

Additional

  • The role supports a mobile working model (2-3 days per week). Candidates should have a strong interest in interdisciplinary collaboration across sales, marketing, and engineering.