1256 English-speaking jobs in Munich

Manage complex, end-to-end customer projects within the CBDC ecosystem, including backend applications and wallets. Lead project teams, manage risks, and ensure customer objectives are met. Requires proven IT project management experience and strong English communication.

Design, develop, and enhance mission-critical cash management platforms using Java and the Spring ecosystem. Focus on secure, scalable enterprise applications while exploring AI-assisted development practices.

Develop and own the infrastructure and platform roadmap, championing IaC and GitOps. Requires 10+ years in infrastructure/SRE with 5+ years in production-scale Kubernetes and cloud platforms.

Senior Manager, Global Business Development in Medical Communications. Support proposal development, manage RFIs/RFPs, and track opportunities in Salesforce. Requires 5-7+ years in a medical communications agency.

Senior QA Engineer ensures quality of complex healthcare software across the lifecycle. Responsibilities include designing automated/manual test suites and leveraging generative AI to enhance testing.

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.

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.

Principal Forward Deployed Architect T3/T4PF provides technical leadership for strategic AI engagements, defining enterprise AI architectures. Expertise required in LLMs, RAG, SAP BTP, and leading complex, customer-facing AI transformation programs.

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.

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.

Set technical direction for AI engineering across strategic customer engagements. Define AI architectures, lead complex technical escalations, and co-design transformational solutions using LLMs and agentic frameworks.

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.

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.

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.

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.

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

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.

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

Provide technical leadership for strategic AI engagements, defining enterprise AI architectures. Lead delivery teams across AI agents, RAG, and Knowledge Graphs, advising executive stakeholders. Requires 10+ years in software engineering with expertise in LLMs and SAP technologies.