Ontology Architect and Knowledge Modeling Specialist - SME
About The Position
Accenture Federal Services is seeking a seasoned Semantic Architect to lead the architecture, design, and implementation of enterprise knowledge graphs and ontological models. The role transforms unstructured data into interconnected, machine-readable intelligence to support advanced semantic search and AI capabilities. The specialist develops domain-specific ontologies, taxonomies, controlled vocabularies, and semantic schemas; collaborates across data science, software engineering, and AI teams; and establishes governance, validation, and harmonization practices to improve data quality and reduce information silos. The position requires U.S. citizenship and an active TS/SCI CIP clearance. The listed base salary range for the specified states and District of Columbia is $109,500–$213,500. Accenture Federal Services describes a collaborative environment with opportunities to grow and learn through hands-on experience, certifications, and industry training, and states that it offers a wide variety of benefits without listing specific benefits in the posting.
Requirements
- U.S. citizen with an active TS/SCI CIP clearance.
- Bachelor’s degree.
- 10 years of experience in semantic architecture or a related field.
- Proficiency in semantic web standards and tools such as OWL, RDF, and SHACL.
- Experience with enterprise graph databases, such as GraphDB or Neo4j.
- Strong collaboration skills with cross-functional teams.
- Expertise in designing and implementing semantic schemas and frameworks.
- Familiarity with modern AI pipelines, including Retrieval-Augmented Generation and vector search structures.
Responsibilities
- Engineer domain-specific ontologies, taxonomies, and controlled vocabularies using semantic web standards such as OWL, RDF, and SHACL.
- Design semantic schemas to support cross-system interoperability, advanced inference, and robust metadata management.
- Collaborate with data scientists, software engineers, and AI architects to integrate semantic frameworks with enterprise graph databases and AI pipelines.
- Establish data governance, validation workflows, and data harmonization pipelines to enforce data quality and eliminate information silos.
- Translate complex business domains into structured semantic models to enable entity resolution and context-aware AI capabilities.
- Lead the architecture, design, and implementation of enterprise knowledge graphs and ontological models.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
