1282 English-speaking jobs in Bavaria

Manage the end-to-end lifecycle of enterprise AI solutions, owning the AI orchestration platform. This internal leadership role requires expertise in AI product management, governance, and vendor management.

Design and operate secure cloud infrastructure for GenAI applications using Azure, AWS, and GCP. Build CI/CD and IaC foundations, productionize LLM services, and ensure service readiness with SLOs.

Intern supporting semi-automated chip card programming and process automation. Tasks include operating 3D printers and contributing to small programming tasks. Requires enrollment in CS, mechatronics, or related field, and basic knowledge of Python/C++ and hardware assembly.

Lead a team of forward deployed AI engineers to turn industrial challenges into deployable AI solutions. This role connects customer discovery, engineering, and go-to-market execution. Requires leadership in technical sales or AI customer project delivery.

Lead a team of forward deployed AI engineers to turn industrial challenges into deployable AI solutions. This role connects customer discovery, engineering, and go-to-market execution. Requires leadership in technical sales or AI customer project delivery.

Support research in Distributed Computing for 6G and Satellite networks. Tasks include experimenting with emulation, developing orchestration solutions, and improving testbed infrastructure. Requires relevant degree and skills in distributed/edge computing.

Own technical products in Revenue Management, focusing on pricing logic and agentic tooling. Requires engineering depth, fluency in code, and experience with LLMs to drive decisions based on system behavior.

Senior Software Engineer to own pricing end-to-end, translating business goals into production systems. Requires C++ expertise in a latency-critical core, building scalable distributed systems, and driving outcomes.

Support the AI Engineering team by developing and testing AI applications and proof-of-concepts. Contribute to implementation, data evaluation, and process optimization using Python and AI concepts.

DevOps Engineer to set up and maintain application environments, ensuring high availability and scalability. Requires a CS degree and experience with cloud technologies, specifically Microsoft Azure, SQL, and Python.

Senior SAP EWM Expert needed for operations focus. Requires 9+ years in live SAP EWM support, ensuring stable warehouse execution and fast incident resolution. Experience with SAP ERP/EWM integration is key.

Expert Architect for Backend in T Cloud Public develops and extends the Open Telekom Cloud platform. Requires 5+ years in IT with focus on cloud/container architectures, infrastructure automation, and Linux.

Principal Enterprise Architect for Defense Cloud Services. Develop target architectures and roadmaps for the defense sector, leveraging Hyperscaler knowledge (AWS, Azure, GCP) and TOGAF. Must ensure IT Compliance (BSI-Grundschutz, C5).

Build enterprise cloud infrastructure for European data sovereignty using Go, Kubernetes, and Terraform. Solve complex distributed systems challenges at scale in a DevOps role.

Design 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.

Provide technical leadership for strategic AI engagements, defining enterprise AI architectures. Own end-to-end architecture for complex programs using LLMs, RAG, and SAP technologies.

Intermediate SAP S/4HANA (Basis) Engineer to manage daily cloud operations for Sovereign Cloud in Germany. Responsibilities include system design, maintenance, patching, and on-call support. Requires 1-3 years of SAP experience.

Contribute to pioneering technical advances in foundation models on structured data. Develop novel architectures and benchmarks for business problems using SAP data. Requires PhD/Master's and 5+ years in ML on Structured Data.

AI Native Senior Developer for Retail Applications. Design and build enterprise mobile apps using SAP MDK, Fiori, and BTP, integrating AI/ML capabilities. Requires expertise in ABAP, cloud services, and mobile development.

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 foundation models and agentic frameworks.