5 дней назад
Semantic AI Engineer
78 500 - 141 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Semantic AI Engineer (AI/Semantic Technologies): Building and operationalizing semantic services, APIs, MCP tools, agents, and AI-enabled components that expose enterprise ontologies through Enterprise Ontology Services, with an accent on knowledge representation, data integration, and FAIR data principles. Focus on enabling inference, search, normalization, entity resolution, and scalable delivery through CI/CD across enterprise platforms.
Location: North Chicago, Illinois, United States
Salary: $78,500–$141,000 per year
Company
develops innovative medicines and solutions across immunology, oncology, neuroscience, and aesthetics.
What you will do
- Design, build, and operate AI-driven semantic solutions for Enterprise Product Master Data, Dataverse, and related enterprise platforms through Enterprise Ontology Services.
- Translate ontologies, controlled vocabularies, mappings, semantic contracts, and reference standards into APIs, MCP tools, agents, and reusable software components.
- Enable inference, search, query expansion, normalization, entity resolution, and data integration across enterprise workflows.
- Define implementation patterns, decision processes, and quality gates that embed FAIR data principles into AI-generated software assets.
- Collaborate with platform, product, data, ontology, and governance teams to align semantic services with business and architecture requirements.
- Maintain technical documentation, integration patterns, reusable examples, and operational support practices, including CI/CD.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Informatics, Software Engineering, Semantic Technologies, or a related field with 5 years of experience; or a master’s degree with 4 years of experience.
- Production experience building data, software, AI, or semantic technology solutions, including APIs, MCP tools, agents, services, integrations, or reusable platform components.
- Working knowledge of ontologies, controlled vocabularies, knowledge graphs, OWL, RDF, SPARQL, metadata, mappings, normalization, and FAIR data principles.
- Experience with REST APIs, XML, JSON, and Python libraries such as Pydantic.
- Ability to translate business and governance requirements into scalable technical designs and contribute to reliable CI/CD delivery.
- Fluency in English is required. Strong collaboration and communication skills are required for cross-functional work with scientific and non-scientific stakeholders.
Culture & Benefits
- Work in a global, interdisciplinary organization serving R&D and corporate business teams.
- Collaborate across teams in Illinois, Massachusetts, and Germany.
- Benefits may include paid vacation, holidays, sick leave, medical, dental, and vision insurance, and a 401(k).
- Eligibility for short-term incentive programs.
- Work in an environment focused on scientific curiosity, technical creativity, innovation, responsible AI, data security, and GxP compliance where applicable.
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