Senior Graph RAG & Semantic Data Architect

Opportunity Overview

Location: 100% Remote (United States)
Employment Type: Full-Time Direct-Hire via Accel DNA
Compensation Range: $185,000 – $220,000 Base + Incentive Bonus
Hiring Agency: Accel DNA – Premier Frontier Data & AI Talent Partner

Our client, a tier-one supply chain and logistics SaaS provider, is looking for a Senior Graph RAG & Semantic Data Architect. You will design next-generation knowledge graph architectures that combine graph databases with dense vector search to eliminate hallucinations in complex multi-hop enterprise reasoning.

Key Responsibilities:

• Design and implement enterprise knowledge graphs using Neo4j, Amazon Neptune, or TigerGraph to capture rich domain ontologies.
• Architect hybrid GraphRAG retrieval pipelines combining Cypher/SPARQL graph traversals with vector similarity search (Pinecone, Weaviate, or Qdrant).
• Build automated entity resolution and relationship extraction pipelines using LLMs and traditional NER algorithms from unstructured documents.
• Establish high-throughput data sync between relational enterprise systems (Snowflake, Databricks) and real-time knowledge graphs.

What You Bring:

• 6+ years of data architecture and engineering experience with at least 2+ years working hands-on with graph databases and semantic data models.
• Deep proficiency in Cypher, Python, SPARQL, and RDF/OWL ontology modeling.
• Proven track record architecting enterprise RAG systems with measurable precision/recall improvements over naive vector search.
• Experience with modern data orchestration tools (dbt, Apache Airflow, or Prefect).

How to Apply:

Submit your resume and project portfolio to contact@accel-dna.com or visit Accel DNA Contact.