Together with our customers, we combine the real and digital worlds with technology, software and services for smart buildings, transforming the everyday for everyone. By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences. The digital transformation of buildings is a fast-changing, dynamic sector, and it needs more than just great technology – it needs great people, too. Within our buildings business, our diverse global team will support you through your career and challenge you to grow in new and exciting ways, as we transform the world’s infrastructure.
As an AI Platform Engineer, you will play a key role in building, deploying, and operating the next generation of AI-powered engineering solutions. You will work hands-on with Generative AI, Agentic AI, cloud-native architectures, and modern software engineering practices to bring innovative capabilities into production. If you are passionate about combining cloud engineering with cutting-edge AI technologies and enjoy turning ideas into scalable products used by engineers and customers worldwide, we would like to meet you.
Tasks
- Design, implement, and operate scalable AI-powered applications and platform services, leveraging Large Language Models and Amazon Web Services as foundational technologies
- Build Retrieval-Augmented Generation solutions by integrating enterprise knowledge sources and implementing advanced AI agents and multi-agent workflows to automate engineering processes
- Develop and maintain cloud-native infrastructures using Infrastructure as Code with Terraform, ensuring robust CI/CD pipelines, automated deployment, and operational excellence
- Collaborate across teams to deliver end-to-end AI-powered user experiences, contributing to platform architecture, technical design discussions, and continuous improvement of software engineering practices
- Evaluate, monitor, and optimise AI system quality, reliability, and cost, applying observability principles and implementing guardrails to ensure secure and maintainable platform operations
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence or a comparable field, with several years of relevant professional experience
- Proven experience in software engineering, cloud engineering or AI platform development, including delivering production-grade software solutions
- Practical expertise in developing Generative AI solutions, deploying Large Language Models (LLMs), and working with Amazon Bedrock and Retrieval-Augmented Generation (RAG)
- Strong proficiency in Python and backend service development, with additional experience in Infrastructure as Code using Terraform, CI/CD pipelines, and cloud-native deployment patterns on Amazon Web Services
- You demonstrate a pragmatic engineering mindset, a passion for emerging technologies, excellent problem-solving skills and strong collaboration and communication abilities
- Proficiency in English is required; German language skills are an advantage
Benefits
- 2–3 days per week of mobile working is standard
- Mobility allowance
- Varied further training opportunities
- Access to employee share programs
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Über uns
Das Team
Working in a multidisciplinary team of product managers, software architects, AI specialists, and developers, you will help establish the technical foundation for Siemens' next generation of AI-enabled products.