Semantic AI Engineer
AbbVie
August 24, 2026
Remote friendly (North Chicago, IL)
United States
$78,500 - $141,000 USD yearly
IT
Responsibilities:
- Design, build, and operationalize AI-driven semantic solutions that embed enterprise ontologies and semantic assets into Enterprise Product Master Data initiatives, Dataverse, and related platforms through Enterprise Ontology Services (EOS).
- Engineer and translate ontologies, controlled vocabularies, mappings, semantic contracts, and reference standards into machine-consumable services, APIs, agent tools, and reusable software components.
- Enable semantic knowledge structures to drive inference, search, normalization, query expansion, entity resolution, and data integration across enterprise-scale workflows.
- Partner with Standards & Governance Expert to define implementation patterns, decision processes, and quality gates embedding FAIR data principles into SHIFT-generated software assets.
- Collaborate with platform, product, data, ontology, and governance teams to align semantic services with business requirements, enterprise architecture, and delivery practices.
- Develop and maintain technical documentation, integration patterns, reusable examples, and guidance for consistent EOS consumption.
- Adhere to corporate standards including data security, GxP compliance where relevant, software development lifecycle expectations, and responsible AI practices.
- Monitor relevant technology trends for knowledge analysis and insights discovery.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Informatics, Software Engineering, Semantic Technologies or related field + 5 years’ experience; or Master’s degree + 4 years’ experience.
- Production-quality experience with data/software/AI/semantic solutions including APIs, MCP tools, agents, services/integrations, reusable components; e.g., REST APIs, XML, JSON, Python (e.g., Pydantic).
- Working knowledge of ontologies, controlled vocabularies, knowledge graphs, semantic standards (OWL, RDF, SPARQL), metadata, mapping, normalization, and FAIR data principles.
- Ability to translate business/governance requirements into scalable technical designs for applications, AI agents, search, and data integration.
- Strong collaboration, stakeholder management, communication; comfortable in fast-paced, cross-functional environments.
- Fluency in English.
Benefits:
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees.
- Eligible for short-term incentive programs.
- Design, build, and operationalize AI-driven semantic solutions that embed enterprise ontologies and semantic assets into Enterprise Product Master Data initiatives, Dataverse, and related platforms through Enterprise Ontology Services (EOS).
- Engineer and translate ontologies, controlled vocabularies, mappings, semantic contracts, and reference standards into machine-consumable services, APIs, agent tools, and reusable software components.
- Enable semantic knowledge structures to drive inference, search, normalization, query expansion, entity resolution, and data integration across enterprise-scale workflows.
- Partner with Standards & Governance Expert to define implementation patterns, decision processes, and quality gates embedding FAIR data principles into SHIFT-generated software assets.
- Collaborate with platform, product, data, ontology, and governance teams to align semantic services with business requirements, enterprise architecture, and delivery practices.
- Develop and maintain technical documentation, integration patterns, reusable examples, and guidance for consistent EOS consumption.
- Adhere to corporate standards including data security, GxP compliance where relevant, software development lifecycle expectations, and responsible AI practices.
- Monitor relevant technology trends for knowledge analysis and insights discovery.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Informatics, Software Engineering, Semantic Technologies or related field + 5 years’ experience; or Master’s degree + 4 years’ experience.
- Production-quality experience with data/software/AI/semantic solutions including APIs, MCP tools, agents, services/integrations, reusable components; e.g., REST APIs, XML, JSON, Python (e.g., Pydantic).
- Working knowledge of ontologies, controlled vocabularies, knowledge graphs, semantic standards (OWL, RDF, SPARQL), metadata, mapping, normalization, and FAIR data principles.
- Ability to translate business/governance requirements into scalable technical designs for applications, AI agents, search, and data integration.
- Strong collaboration, stakeholder management, communication; comfortable in fast-paced, cross-functional environments.
- Fluency in English.
Benefits:
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees.
- Eligible for short-term incentive programs.