Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
Key Responsibilities
- : Lead the design and integration of AI capabilities (Generative AI, LLMs, and data-driven AI models) directly into core enterprise workflows and architecture.
- : Drive technical execution, define coding and design standards, conduct high-level code reviews, and guide a high-performing engineering team based across multiple geographies (Germany and India).
- : Architect and maintain cloud-native solutions using containerization (Docker, Kubernetes) to ensure scalable, secure, and high-availability deployment of AI and data services.
- : Oversee robust data exchange, integration frameworks, and data pipelines connecting disparate enterprise systems (e.g., SAP, Teamcenter, and cloud data lakes).
- : Establish best practices for MLOps, model deployment, monitoring, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
- : Collaborate with product managers, R&D leadership, and cross-functional teams to translate complex business requirements into elegant, AI-centric technical solutions.
Required Qualifications & Technical Skills
- : 8+ years of software engineering experience with at least 3+ years in a Technical Lead or Principal Engineering capacity. 5+ years hands on experience with C++
- Candidates with Teamcenter experience will have an added advantage.
- AI & Data Proficiency:
- Hands-on experience applying AI tools, frameworks (PyTorch, LangChain, LlamaIndex, OpenAI/Hugging Face APIs), and vector databases (Pinecone, Milvus, Qdrant).
- Strong foundation in data engineering, ETL pipelines, and handling large-scale enterprise data.
- : Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes, Helm).
- : Experience building robust integration frameworks and middleware (API-first design, REST/GraphQL, event-driven architectures).
- : Excellent cross-cultural communication skills, with a proven ability to lead technical discussions and align distributed teams (Europe/India).
Why us?
Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as youd expect from a world leader in industrial software. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. Were dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
Siemens Software. Transform the Everyday
