Senior Enterprise Knowledge Graph & Ontological AI Engineer

Opportunity Overview

Location: 100% Remote (United States)
Employment Type: Full-Time Direct-Hire via Accel DNA
Compensation Range: $175,000 – $210,000 Base + Bonus
Hiring Agency: Accel DNA – Premier Frontier Data & AI Talent Partner

Bridge unstructured generative AI retrieval with deterministic enterprise factuality by architecting hybrid GraphRAG pipelines and semantic knowledge graphs.

Key Responsibilities:

• Build automated entity extraction, relation resolution, and graph construction pipelines from enterprise documents using LLMs and ontology models.
• Integrate property graph databases (Neo4j, Amazon Neptune, Memgraph) with vector search engines for hybrid GraphRAG querying.
• Formulate and maintain RDF/OWL ontologies and knowledge representations for complex corporate domains.
• Benchmark and minimize hallucination rates across complex multi-hop question answering workflows.

What You Bring:

• 5+ years in data architecture and knowledge engineering with proficiency in Cypher, SPARQL, and Python.
• Hands-on expertise implementing GraphRAG architectures combining graph traversals with vector similarity embeddings.
• Familiarity with enterprise data modeling, schema governance, and entity linkage frameworks.
• BS/MS in Computer Science, Information Science, or related quantitative discipline.

How to Apply:

Interested in exploring this opportunity? Submit your profile or portfolio directly to contact@accel-dna.com or apply through https://accel-dna.com/contact-us/.