Seeking an experienced Information Architect to design and implement enterprise knowledge graphs and semantic data structures to power AI-driven solutions, requiring expertise in metadata management, schema design, ontology creation, and data integration across systems.
Required Qualifications: Bachelor s/Master s in Information Science, Computer Science, Data Engineering, or related; 5+ years in information architecture/semantic modeling; proven experience in knowledge graphs, ontologies, semantic schemas; expertise in metadata management, schema harmonization, and multi-application integration; experience with Azure Cognitive Search, Data Lake, Synapse, Azure AI; hands-on with OpenAI APIs, LangGraph/LangChain, vector databases, AI graph frameworks; proficiency with Neo4j, Stardog, Azure Cosmos DB Graph, RDF/SPARQL; familiarity with embeddings, RAG pipelines, LLM search/reasoning.
Preferred Skills: Experience with enterprise KG tools (TigerGraph, Stardog, Anzo, GraphQL); knowledge of data governance (GDPR, SOX, etc.); strong communication bridging technical and business; prior work in large-scale AI/ML or digital transformation.
Required Skills and Experience:
- Mandatory: Provenexpertise in Information Architecture and its fundamentals.
- A minimum of 6 years of relevant professional experience in application architecture.