Posted 2 months ago
Semantic Engineer
@ BoehringerPRD
Canada
Overview
BoehringerPRD is hiring an AI Semantic Architect to design and build the Enterprise Semantic Layer that lets AI agents and applications discover and reason over enterprise knowledge. The work centres on knowledge graphs, ontologies, retrieval pipelines and MCP servers, requiring 5+ years of engineering experience.
Responsibilities:
- Design and evolve the Enterprise Semantic Layer
- Build knowledge graph and semantic layer architectures
- Develop MCP servers, semantic tools and agent-facing services
- Create retrieval solutions using graphs, embeddings and semantic search
- Define testing, monitoring and governance for agentic AI systems
Requirements summary:
- 5+ years in software, backend or data platform engineering
- Strong Python and modern API framework skills
- Hands-on RDF, OWL, SPARQL and SHACL experience
- Operating knowledge graph or semantic layer technologies
- Git, CI/CD and cloud-native architecture experience
Tools & skills
Source and dates
Employer career site / ATS feed · successfactors
- Employer posting date
- 2026-09-21
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
BoehringerPRD
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Our people are our strength. And together with over 54,000 colleagues, we're creating the next breakthrough in the world of healthcare and innovation for both humans and animals. Are you ready to join us? #LifeForward Privacy Notice: https://www.boehringer-ingelheim.com/privacy-notice Imprint: https://www.boehringer-ingelheim.com/imprint
- LinkedIn followers
- 2,250,548
- People associated on LinkedIn
- 46,750
- Reported office locations
- Binger Straße, Ingelheim am Rhein, Rhineland-Palatinate 55218, DE
- 813, Cours du 3ème Millénaire, Saint-Priest, Auvergne-Rhône-Alpes 69800, FR
- 900 Ridgebury Rd, Ridgefield, CT 06877, US
- Birkendorfer Straße 65, Biberach an der Riß, Baden-Württemberg 88400, DE
- Eski Buyukdere Caddesi, Uso Center No: 245 Kat 9,13,14,16, Istanbul, 34398, TR
- Ellesfield Avenue, Bracknell, Berkshire RG12 8YS, GB
- The Hyde Building 4th Floor, The Park Carrickmines, Dublin, Dublin 18, IE
- 5180 S Service Rd, Burlington, ON L7L 5H4, CA
- 3239 Satellite Blvd NW, Duluth, GA 30096, US
- 300 Beach Rd, Singapore, Singapore 199555, SG
- Rodovia Regis Bittencourt, Itapecerica da Serra, SP 06850-840, BR
- Avenida Carrera 11 84-9, Bogota, Bogota, D.C. 110221, CO
- Comeniusstraat 6, Alkmaar, North Holland 1817, NL
- De Boelelaan 32, Amsterdam, North Holland 1083, NL
- Leof. Andrea Syngrou 340, Kallithea, Attica 176 73, GR
- Avenida de Pádua, Lisbon, Lisbon 1800-294, PT
- Avenue Ariane, St-Lambrechts-Woluwe, Brussels Region 1200, BE
- Strødamvej 52, Copenhagen, Capital Region 2100, DK
- Tammasaarenkatu 5, Helsinki, Southern Finland 00180, FI
- Hagaløkkveien 26, Asker, Akershus 1383, NO
- Hammarby allé 29, Stockholm, Stockholm County 120 61, SE
- 100-104, Avenue de France, Paris, Île-de-France 75013, FR
- 4, Rue Pierre Hadot, Reims, Grand Est 51100, FR
- 29, Avenue Tony Garnier, Lyon, Auvergne-Rhône-Alpes 69007, FR
- 4, Chemin du Calquet, Toulouse, Occitanie 31100, FR
- 805, Allée des Cyprès, Saint-Vulbas, Auvergne-Rhône-Alpes 01150, FR
- 1, Chemin de Cruzols, Lentilly, Auvergne-Rhône-Alpes 69210, FR
- Dr. Boehringer-Gasse 5-11, Vienna, 1120, AT
- 6701 Kaiser Dr, Fremont, California 94555, US
- Pudong New Area, Shanghai, 201203, CN
- Business categories
- Health Diagnostics
- Health Care
- Alternative Medicine
- Biotechnology
- Medical
- Pharmaceutical
- Other recorded names
- Boehringer Ingelheim
- BoehringerPRD
- Specialties
- Pharmaceuticals
- Animal Health
- Innovation
- Research
- Health Care
- Improve Health
- Biopharmaceuticals
- and Contract Manufacturing
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Our people are our strength. And together with over 54,000 colleagues, we're creating the next breakthrough in the world of healthcare and innovation for both humans and animals. Are you ready to join us? #LifeForward Privacy Notice: https://www.boehringer-ingelheim.com/privacy-notice Imprint: https://www.boehringer-ingelheim.com/imprint
| Field | Value |
|---|---|
| Industry | Pharmaceutical Manufacturing |
| Company size | 10,001+ employees |
| Headquarters | Ingelheim am Rhein, Rhineland-Palatinate |
| Organization type | Privately Held |
| Specialties | PharmaceuticalsAnimal HealthInnovationResearchHealth CareImprove HealthBiopharmaceuticalsand Contract Manufacturing |
| Open jobs on Jobsy | 42 |
| View page |
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.
Journal
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