Hybrid Enterprise Semantic Engineer for AI Knowledge Graphs

Boehringer Ingelheim; Buenos Aires; Hybrid; ARS 1,200,000 - 2,000,000; Full time

Job summary

Boehringer Ingelheim S.A. in Buenos Aires seeks an experienced AI Semantic Architect to design, build, and operate the semantic foundation powering enterprise-scale AI, intelligent agents, and knowledge-driven applications.

You will develop the Enterprise Semantic Layer, integrate knowledge graphs with Snowflake, Databricks, Neo4j, and create reusable MCP servers and agent tooling, while upholding security, governance, and scalable cloud-native practices.

Qualifications

• 5+ years of experience in software engineering, backend engineering, data platforms, or AI platform development.
• Strong proficiency in Python and modern API development frameworks.
• Hands‑on experience with semantic web technologies including RDF, OWL, SPARQL, and SHACL.
• Experience implementing and operating knowledge graph or semantic layer technologies.
• Strong understanding of software engineering best practices, Git workflows, CI/CD, testing, and cloud‑native architectures.
• Ability to communicate effectively with data engineers, architects, AI engineers, and business stakeholders

Responsibilities

• 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.
• 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 databases, search engines, and AI platforms.
• Design and implement MCP servers, semantic tools, and reusable agent-facing services.
• Develop typed tool definitions and YAML/JSON-based tool specifications for enterprise agents.
• Build reusable frameworks and accelerators for Agentic AI solutions.
• Define testing, evaluation, monitoring, and governance approaches for semantic AI and agentic systems.

Skills

Backend engineering

Python

API development

Data platforms

AI development

Communication

Tools

RDF

OWL

SPARQL

SHACL

Knowledge graphs

Job description

Boehringer Ingelheim S.A. in Buenos Aires seeks an experienced AI Semantic Architect to design, build, and operate the semantic foundation powering enterprise-scale AI, intelligent agents, and knowledge-driven applications.

You will develop the Enterprise Semantic Layer, integrate knowledge graphs with Snowflake, Databricks, Neo4j, and create reusable MCP servers and agent tooling, while upholding security, governance, and scalable cloud-native practices.