Validation Engineer - Context, Semantics & Memory | Validation Engineer - Context, Semantics & Memory (f/m/x)
BMW AG
Job Summary
As a Validation Engineer specializing in Context, Semantics, and Memory, you will be at the forefront of shaping the AI backbone for automotive development. You will design and operate sophisticated knowledge graphs and graph databases that serve as the foundation for both our inter-domain multi-agent vehicle systems and internal development toolchains. Your day-to-day will involve building context-engineering pipelines, implementing feedback loops for AI agents, and architecting memory systems—such as working, episodic, and semantic memory—to ensure long-running agent sessions remain efficient. You will also define ontologies and semantic models to ensure consistent vocabulary across complex automotive domains. This role is ideal for an engineer passionate about retrieval-heavy architectures and AI-driven development. You will work in an international environment, optimizing retrieval quality and cost-efficient model selection to drive innovation at scale. This position offers the unique opportunity to work on petabyte-scale data, shaping the future of mobility within a world-leading premium automotive manufacturer.
Required Skills
Education
University degree in Computer Science, Information Science, AI/ML, or a related field.
Experience
- 1-3 years of professional experience in knowledge management, knowledge-graph engineering, or context engineering for AI/LLM systems.
- Professional experience in systems design, specifically for knowledge-intensive or retrieval-heavy architectures.
- Professional experience in ontology design, semantic modeling, or graph-based analytics.
Languages
Additional
- Must apply exclusively via the online career portal. Role requires full-time commitment. Standard work permit for Germany is implied for the location.
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