1305 English-speaking jobs in Munich

Define and lead complex business process transformation initiatives for Life Sciences (Biopharma) customers. Act as a process expert, applying Regulated Manufacturing knowledge to guide design and optimization. Translate strategic challenges into process architectures.

Build the data foundation for SAP's Knowledge Graphs by designing pipelines to ingest and transform structured/unstructured business data into RDF KGs. Requires Data Engineering experience, Python, and knowledge of the RDF stack.

Design, build, and operate scalable data pipelines and platforms within customer environments. Translate business needs into robust data solutions using cloud-native engineering, AI capabilities, and modern data platforms.

Senior Developer for SAP's mission-critical Event Data Platform (EDP). Design, develop, and operate large-scale distributed systems using Scala, Kafka, and AWS. Take end-to-end ownership of features.

Develop Grounded AI for sales workflows, designing and shipping AI-driven features for Account Executives. Architect scalable AI components, mine operational datasets, and build observability pipelines. Requires strong engineering, Python, and AI/ML experience.

Contribute to pioneering technical advances in foundation models on structured data. Develop novel architectures, benchmarks, and models for business problems, collaborating with research teams and academic partners. Requires a PhD/Master's and 5+ years in ML on Structured Data.

Own and grow data assets for the SAP-RPT foundation model family. Translate data needs into roadmaps, partner with scientists, and ensure compliant data use. Requires PhD/Master's and 5+ years in data/AI.

Lead the definition and prototyping of a composable, multi-modal architecture for foundation models, focusing on semi-structured data like text or code. Translate LLM advances into research directions and guide technical execution.

Pioneer technical advances in foundation and world models on structured business data. Develop novel architectures and benchmarks for business problems, publishing research at top-tier conferences. Requires a PhD and expertise in ML on structured data.

Lead and grow a team of senior engineers and AI practitioners embedded in strategic customer environments. Own delivery outcomes, technical quality, and customer impact while setting technical direction.

AI Data Lead for the SAP-RPT model family. Own data assets and drive strategy to grow the asset base for foundation model research. Requires PhD/Master's and 7+ years in high-scale data environments.

Application Engineering Expert needed to define technical direction for secure, scalable interoperability between HIS and the SAP portfolio. Expertise in healthcare interoperability, HL7 FHIR, and enterprise integration architectures is required.

Lead the applied science team for Multi-Modal Industry Foundation Models. Drive research strategy, mentor AI Scientists/Engineers, and deliver models for structured business data. Requires strong scientific judgment and leadership.

Contribute to designing and developing production-grade, cloud-native AI applications. Requires solid software engineering skills in Python and growing knowledge of ML techniques like LLMs.

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/software engineering.

Lead and scale the design organization for 1KOMMA5, driving design strategy across Heartbeat and customer-facing products. Own the end-to-end design function, embedding AI-native workflows to shape AI-powered product experiences.

Shape technical strategy and lead architectural direction for scalable, state-of-the-art solutions. Drive transformation to agentic engineering while mentoring engineers and ensuring system reliability.

Build and maintain scalable, production-grade data models using SQL and modern transformation tools. Partner with stakeholders to define metrics and turn data into actionable insights using BigQuery and BI tools.

Own the cloud side of the IoT Platform, ingesting and routing messages from distributed energy devices. Operate and evolve the Kubernetes-based platform, developing features for fleet management and observability.

Senior Product Manager to own the Energy Utility Platform, enabling customer participation in energy markets. Focus on execution for market access, flexibility marketing, and optimization layers. Requires 3+ years in energy/regulated platform products.