Pharma Market Intelligence Architect | High-Impact & Hybrid

GhidiniRodil

Buenos Aires

Hybrid

ARS 1,800,000 - 2,800,000

Full time

9 days ago

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Job summary

Boehringer Ingelheim S.A. is seeking an experienced AI Semantic Architect to design and operate the semantic foundation powering enterprise-scale AI, intelligent agents, and knowledge-driven applications.

You will build the Enterprise Semantic Layer to provide a governed, unified representation of enterprise knowledge across data domains, systems, and applications. You will implement RDF/OWL-based architectures, knowledge graphs, and retrieval pipelines, collaborating with data engineers, AI

Qualifications

5+ years of software engineering, backend engineering, data platforms, or AI platform development.
Proficiency in Python and modern API development frameworks.
Hands-on experience with RDF, OWL, SPARQL, and SHACL in semantic projects.
Experience with knowledge graphs or semantic layer technologies.
Strong understanding of software engineering best practices, Git workflows, CI/CD, testing, and cloud-native architectures.
Excellent communication with data engineers, architects, AI engineers, and business stakeholders.

Responsibilities

Design and evolve the Enterprise Semantic Layer to abstract knowledge for AI agents, applications, and analytics.
Translate diverse data sources into a unified semantic representation using knowledge graphs and ontologies.
Design scalable architectures enabling interoperability across data domains with shared semantics and vocabularies.
Develop knowledge graph and semantic layer architectures using RDF, OWL, SHACL, SKOS and related graph technologies.
Develop MCP servers, semantic tools, and reusable agent-facing services.
Define testing, monitoring, and governance approaches for semantic AI and agentic systems.