Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team. We are looking for: Lead Software Engineer - Applied AI You’ll make an impact by: · Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack. · Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. · Build Production Grade AI Solutions: You will build and deliver to end customers ML and Agentic AI solutions to help them unleash the capabilities of their existing products and tools in the electric power and energy domain. You will develop high performing scalable systems in the context of large online delivery environments. · Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams. · Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. · Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. · Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments. Use your skills to move the world forward! · Bachelor’s or master’s degree or equivalent in electrical engineering. · At least 6 years software engineering experience, ideally in the context of machine learning (ML), agent harnesses, multi-agent orchestration and natural language processing (NLP) · At least 3 years’ practical, relevant experience building NLP/IR/ML/Agent systems, from ideation to production · Pre-training or fine-tuning domain centric language models & building Generative AI and novel knowledge representation and inferencing techniques such as retrieval augmented generation (RAG) · Experience driving technical workstreams within a software engineering organization · Prior exposure working in the electric power and energy domain and the user personas and day-to-day user workflows · Demonstrated ability to translate cutting edge research into working prototypes and experience experimenting to solve real-world problems · Are skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal. · Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems. · Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn · Are familiar with Agentic AI stack through exposure to libraries such as LangChain, LangGraph, Agent SDKs · Take pride in writing clean, reusable, maintainable and well-tested code · Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform) · Proficient in system analysis and design & Consider DevOps and automation as fundamental pillars of your work · Desire to learn and embrace new and emerging technology · Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods · Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields · Previous exposure to Natural Language Processing (NLP) problems and are familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. · Successfully taking and integrating Machine Learning solutions to production-grade software · Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

About Siemens

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations.