Senior AI Engineer

Job ID 528771

Posted since 09-Nov-2026

Organization Information Technology

Field of work Information Technology

Company Siemens S.A.

Experience level Experienced Professional

Job type Full-time

• Work mode
• Hybrid (Remote/Office)

Employment type Permanent

• Solution Development: Design, develop, and deploy end-to-end AI solutions — RAG and retrieval pipelines, LLM-based applications, agentic workflows, and classical ML where it's the better tool — to improve Siemens processes and products.

• Engineering Excellence: Bring production-grade practices to AI: clean code, testing, CI/CD, containerization, observability, and MLOps/LLMOps for evaluation, monitoring, and safe iteration.

• Project Ownership: Lead initiatives from concept to deployment, translating business requirements into scalable technical solutions and ensuring timely delivery aligned with business objectives.

• Rapid Delivery: Work in a lean, MVP-driven way — prototype fast, validate with real users, then harden what proves valuable.

• Collaboration: Work closely with an international team of diverse backgrounds — engineers, product managers, domain experts, and business stakeholders — to integrate AI solutions into existing systems and platforms.

• Communication: Clearly articulate complex technical concepts to non-technical stakeholders. Proactively raise concerns, suggest alternatives, and engage in constructive debate when appropriate.

• Mentorship & Knowledge Sharing: Mentor colleagues, share reusable patterns and reference architectures, and contribute to the overall skill development of the team.

• Degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, or a related field — or equivalent practical experience. A strong track record of shipped systems counts as much as a formal qualification.

• 5+ years in software engineering, machine learning engineering, or data science roles, including meaningful hands-on experience with modern AI/LLM technologies.

• Proven ability to take solutions from exploration to production — not just prototypes and notebooks.

• Demonstrated ability to manage and deliver complex projects with multiple stakeholders.

• Strong programming skills in Python; additional strength in TypeScript/Node.js, C#, Java, or Go is a plus, especially for building services and user-facing applications.

• Practical experience with LLM-based systems: prompt design, RAG architectures, vector search and embeddings, structured output, and evaluation.

• Experience with at least one agentic or LLM framework (e.g. LangChain/LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, Microsoft Agent Framework) and an understanding of what it takes to make agents reliable rather than merely impressive.

• Familiarity with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) and classical ML/NLP fundamentals.

• Experience with cloud-native development (Azure preferred; AWS or GCP equally welcome), including containerization (Docker/Kubernetes) and CI/CD.

• Experience designing and working with APIs, data stores, and integration layers (SQL and NoSQL; e.g. PostgreSQL, MongoDB, Azure AI Search, or comparable).

• Exposure to MLOps/LLMOps practices: versioning, deployment pipelines, tracing, evaluation, and monitoring of AI systems in production.

• Version control and collaborative engineering practices (GitHub/GitLab).

• Nice to have: big data and analytics platforms (Snowflake, Spark, Databricks), data visualization, enterprise platforms (Microsoft 365 / SharePoint, SAP, Salesforce), or a research background with publications.

• Strong verbal and written communication:

• Ability to present ideas concisely and directly in international business contexts.

• Comfort proactively raising concerns, suggesting alternatives, and engaging in constructive debate.

• Experience bridging communication between global teams and navigating cultural differences in professional settings.

• Curiosity about the business domain, not just the technology — the best AI solutions come from engineers who understand the problem deeply.

• Independent working style with a proactive approach to problem-solving.

• High level of ownership and accountability for project outcomes.

• Excellent teamwork and collaboration abilities.

• Effective project management and organizational skills.

• Fluent English required. German or Portuguese is beneficial but not mandatory.

• Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.

• Flexibility that Works: Hybrid model, flexible hours, and a home office budget — because balance fuels performance.

• Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.

• Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.

• Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.