We are seeking an experienced AI Semantic Architect to design, build, and operate the semantic foundation that powers enterprise-scale AI, intelligent agents, and knowledge-driven applications.
This role is focused on the development of the Enterprise Semantic Layer, providing a unified and governed representation of enterprise knowledge across data domains, systems, and applications. Leveraging knowledge graphs, ontologies, semantic models, metadata systems, and retrieval technologies, you will build the technical capabilities that enable AI systems to discover, retrieve, reason over, and act upon enterprise knowledge.
Unlike ontology governance or data modeling roles, this position is focused on engineering reusable platform components such as semantic services, GraphRAG architectures, MCP servers, retrieval pipelines, and agent tooling that accelerate delivery of Enterprise Brain capabilities.
Tasks and responsibilities
Semantic Layer Engineering
- Design, implement, and evolve the Enterprise Semantic Layer that abstracts enterprise knowledge and makes it consumable by AI agents,



applications, and analytical platforms.
- Translate heterogeneous enterprise data sources into a unified semantic representation using knowledge graphs, ontologies, semantic models, metadata, and business context.
- Design scalable architectures enabling interoperability across data domains through shared semantics and common business vocabularies.
- Ensure enterprise-grade security, governance, scalability, observability, and maintainability of semantic platform components.

Semantic Layer & KG Development
- Design and implement knowledge graph and semantic layer architectures using RDF, OWL, SHACL, SKOS, semantic models, and graph technologies.
- Develop retrieval solutions leveraging knowledge graphs, ontologies, embeddings, metadata, and semantic search capabilities.
- Support integration of enterprise knowledge graphs with platforms such as Snowflake, Databricks, Neo4j, vector datab

📌 Principal Software Engineer (Buenos Aires)
🏢 Boehringer Ingelheim
📍 Buenos Aires