AI Semantic Architect: Enterprise Knowledge Layer

Boehringer Ingelheim; Buenos Aires; On-site; ARS 1,000,000 - 1,500,000; Full time

Job summary

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

You will develop the Enterprise Semantic Layer, unifying enterprise knowledge across data domains and systems, leveraging knowledge graphs, ontologies, metadata, and retrieval technologies to enable AI systems to discover, retrieve, and reason about enterprise knowledge.

Qualifications

• 5+ years of software engineering, backend engineering, data platforms, or AI platform development.

Responsibilities

• Design, implement, and evolve the Enterprise Semantic Layer that abstracts enterprise knowledge and makes it consumable by AI agents, applications, and analytical platforms.

Skills

Python

Knowledge graphs

RDF

OWL

SPARQL

SHACL

CI/CD

Git workflows

APIs

Cloud-native

Tools

Metaphactory

Stardog

Snowflake

Job description

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.

The Position

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 databases, search engines, and AI platforms.

Agent & MCP Engineering

• 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.

Required

• 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

Desirable

• Experience with metaphactory, Stardog.


• Experience with Snowflake Semantic Models and Open Semantic Interoperability (OSI) compliant YAML specifications.


• Experience implementing MCP servers and agent platforms.


• Experience working in regulated environments such as pharmaceutical, healthcare, or life sciences industries.

Our Company

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com