A Snapshot of Your Day
This position is an addition to the Pro Code & AI team to support the extended responsibilities of scaling AI-driven solutions within the Digital Finance function. As an Generative AI Engineer (m/f/d), this role is critical for advancing our capabilities beyond pilots and prototypes to sustainably strengthen digitalization with production-grade AI. To achieve this, the role is structured around three core areas: architecting and developing advanced Generative AI solutions, engineering scalable MLOps and API deployment pipelines, and providing expert-level system evaluation and strategic guidance. This focus ensures the transition from experimental models to robust, integrated business applications. Given the emphasis on productionizing AI, the ideal candidate will be a recognized master in the field, possessing extensive experience in Python, GenAI frameworks like LangChain, RAG architecture, and API development. They will be responsible for establishing operational plans and implementing new processes that have a significant impact on achieving our functional results.
How You'll Make an Impact
- Design and deliver production‑grade Generative AI agents and workflows using foundation models with frameworks such as LangChain and LangGraph.
- Architect, build, and optimize scalable Retrieval‑Augmented Generation (RAG) systems using vector stores like FAISS or Redis.
- Integrate structured enterprise data (e.g., Snowflake) with unstructured sources (PDFs, documents, text corpora) into unified AI solutions.
- Fine‑tune or adapt language models using LoRA/PEFT techniques to meet domain‑specific and business requirements.
- Develop and deploy secure, containerized Generative AI APIs using FastAPI or Flask, with Docker‑based deployments.
- Implement MLOps and CI/CD pipelines for automated testing, deployment, monitoring, and lifecycle management of AI systems.
- Define and apply evaluation frameworks (RAGAS, LangSmith) to measure quality, reliability, and continuous performance improvement.
- Provide strategic leadership through best‑practice definition, ethical AI governance, technical documentation, and team mentorship.
What You Bring
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative discipline.
- Extensive professional experience as a senior expert in software engineering and applied machine learning, aligned with a P5 Expert Professional level.
- Proven track record designing, building, and deploying production‑scale AI/ML systems, with deep focus on Generative AI solutions.
- Strong expertise in Generative AI, Large Language Models, and modern frameworks such as LangChain and LangGraph.
- Advanced software and systems engineering skills with strong Python proficiency and API design experience.
- Hands‑on experience deploying AI systems on cloud platforms such as AWS and Microsoft Azure.
- Demonstrated analytical thinking and troubleshooting skills for complex technical and business problems.
- Recognized thought leader with the ability to influence, mentor, and communicate complex concepts effectively.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings,
modernization, and digitalization of the fleet.
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
- 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
We value equal opportunities and welcome applications from people with disabilities.
https://jobs.siemens-energy.com/jobs
