1415 English-speaking jobs in Munich

Build scalable full-stack solutions for an AI product, developing features across React, Vue, Node.js, and Python. Define system architecture using Docker, Kubernetes, and CI/CD. Requires 3+ years of experience in agile development.

Drive global go-to-market strategies for Sovereign Identity Platforms and Service Layers. Engage C-level executives and government stakeholders in consultative sales for strategic transformation. Requires experience in enterprise technology or advisory sales.

Experienced (Senior) IAM Consultant/Engineer needed for Ping Identity. Responsibilities include operating, administering, and enhancing IAM systems like PingAM, PingIDM, and PingDS. Requires expertise in SSO, MFA, and federation standards.

Purchasing Director for Europe. Responsibilities include strategic sourcing, managing purchasing strategies, budget planning, and driving cost reductions through negotiations. Requires a graduate degree and extensive experience in purchasing within manufacturing.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data.

Lead complex data science and applied AI initiatives, translating business strategy into scalable analytical solutions within customer environments. Act as a technical authority, guiding stakeholders on advanced modeling and AI implementation.

Contribute to pioneering technical advances in foundation models on structured data and world models for business problems. Define benchmarks, architectures, and execute scientific experiments using structured business data. PhD/Master's required with 5+ years in ML on Structured Data.

Tech Lead & Staff Scientist to define and prototype a composable, multi-modal architecture for foundation models focusing on semi-structured data like text or code. Requires strong expertise in LLMs and ML frameworks.

Contribute to pioneering technical advances combining Knowledge Graphs and Large Language Models, including hands-on work on agentic workflows. Requires PhD/Master's in relevant fields and experience with KGs and LLMs.

Provide technical leadership for strategic AI engagements, defining enterprise AI architectures. Lead delivery teams across AI agents, RAG, Knowledge Graphs, and cloud platforms using SAP AI Core and BTP.

Build data foundations for SAP's Knowledge Graphs by designing pipelines to ingest and transform structured/unstructured business data into RDF KGs. Map data to ontologies and develop SPARQL transformations.

Lead and build the applied science team for Multi-Modal Industry Foundation Models. Set technical rigor, drive research roadmaps, and deliver models for structured business data. Requires relevant advanced degree and strong scientific track record.

Senior Researcher to pioneer advances in foundation and world models on structured business data. Develop novel architectures, create benchmarks, and translate research into publications. Requires PhD and expertise in ML on structured data.

Principal Forward Deployed Architect leads strategic AI engagements, defining enterprise AI architectures. Expertise required in LLMs, RAG, Knowledge Graphs, SAP BTP, and leading cross-functional teams.

Contribute to designing and developing AI-native enterprise applications using Python and cloud-native environments. Focus on integrating LLMs, RAG pipelines, and agent-based components for real-world business problems.

Drive technical advances in foundation and world models on structured business data. Define research agendas, publish findings, and collaborate with academic partners. PhD required in relevant fields.

Develop Grounded AI for sales workflows, architect scalable AI components, and mine operational datasets. Requires strong engineering fundamentals, Python, LLM experience, and data analysis skills.

Design, build, and deploy AI-native data and application solutions within customer environments. Act as chief technical authority, defining architecture and strategy for complex, business-critical applications. Requires 8+ years in AI native application or software engineering.

Define AI engineering direction for strategic customer engagements. Act as the deepest technical authority on AI, architecting and scaling AI-native applications. Lead evaluation of emerging AI capabilities.

Senior Software Engineer to design and build robust, secure solutions for complex problems. Own features end-to-end, using AI coding agents while ensuring high performance under hostile traffic. Requires 5+ years of deep coding experience.