Semantic AI Engineer

AbbVie

Confirmed live today High trust

Quick summary

Work type
On-site
Location
North Chicago, ILBoston, MALudwigshafen, Baden-Württemberg, Germany
Salary
$78,500–$141,000 / yr
Posted
63 days ago
Freshness
Confirmed live today
Closes
Aug 24, 2126
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $110k
$59k $261k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $153,937–$241,750 — the blue band above. At the midpoint, this role pays about $110k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Semantic AI Engineer

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The Semantic AI Engineer joins the Reference Data Architecture team within the global Information Research group. This role focuses on building and operationalizing software capabilities that expose semantic assets through Enterprise Ontology Services. The engineer will design and build AI-driven solutions to embed enterprise ontologies into platforms like Dataverse and Enterprise Product Master Data. Key responsibilities include translating ontologies, controlled vocabularies, and semantic contracts into machine-consumable services, APIs, MCP tools, and reusable software components. The position requires proficiency in Python libraries like Pydantic, REST APIs, XML, JSON, and semantic standards including OWL, RDF, and SPARQL. The work involves creating a semantic layer to connect internal and external ontologies, enabling inference, search, and data integration while embedding FAIR data principles into GenAI-generated software assets.

Skills

GenAI Ontologies Knowledge Graphs Python Pydantic REST APIs JSON XML OWL RDF SPARQL CI/CD Data Integration FAIR Data Principles metadata, mapping

What you'll do

  • Design and operationalize AI-driven semantic solutions to embed enterprise ontologies into major data platforms.
  • Engineer machine-consumable services, APIs, agent tools, and reusable software components from ontologies and reference standards.
  • Enable semantic knowledge structures to drive inference, search, normalization, and data integration across enterprise workflows.
  • Define implementation patterns and quality gates to embed FAIR data principles into software assets.
  • Develop and maintain technical documentation, integration patterns, and reusable examples for consistent service consumption.
  • Contribute to CI/CD practices to ensure reliable delivery and ongoing operational support for semantic services.

What we're looking for

  • Bachelor’s Degree in Data Science, Computer Science, Informatics, Software Engineering, Semantic Technologies, or a related field and 5 years of experience.
  • Master’s Degree and 4 years of experience.
  • Experience building production-quality data, software, AI, or semantic technology solutions including APIs, MCP tools, agents, and services.
  • Proficiency in common technologies and formats such as Rest APIs, XML, JSON, and Python libraries like Pydantic.
  • Working knowledge of ontologies, controlled vocabularies, knowledge graphs, semantic standards (OWL, RDF, SPARQL), and FAIR data principles.
  • Ability to translate business and governance requirements into scalable technical designs for AI agents, search, and data integration workflows.
  • Demonstrated ability to contribute to CI/CD practices and produce clear technical documentation for enterprise adoption.
  • Fluency in English.

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