AI-Driven Knowledge Graph Backend Manager

Accenture; Raleigh (NC); Hybrid; USD 140,000 - 220,000; Full time

Job summary

Accenture seeks a Back-End Engineer to design, build, and operate data infrastructure powering an AI‑driven knowledge platform. You will work across the full back‑end stack, architect APIs, build data pipelines, and own reliability of services used by application teams.

You will hydrate data into Knowledge Graphs, optimize SPARQL queries, and manage vector stores for semantic retrieval at scale. Strong RDF/SPARQL, R2RML, and graph DB experience are essential.

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology‑based data mapping.
• Minimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.
• Minimum 5 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch.
• Minimum 5 years hands‑on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server).
• Minimum 5 years experience deploying and operating vector databases in production environments.
• Minimum 5 years Proficiency in Python or Java for automation and REST API design.

Responsibilities

• Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.
• Develop data mapping and transformation workflows using R2RML or similar technologies.
• Write and optimize SPARQL queries for graph loading, validation, and retrieval.
• Build and maintain data ingestion pipelines and integrate data from enterprise systems.
• Design and optimize relational database schemas and queries to support graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage and semantic retrieval.
• Design and maintain scalable graph query APIs consumed by internal teams.
• Performance‑tune graph database queries and data access patterns.
• Own containerization, deployment, and monitoring of graph services in cloud environments.
• Ensure data quality, ontology alignment, and secure handling of sensitive data.

Skills

Knowledge Graph

RDF/SPARQL

R2RML

Graph Databases

Python/Java

Data Integration

Education

Bachelor's degree or equivalent (12+ years)

Tools

StarDog

GraphWise

Neo4J

Elasticsearch/OpenSearch

Job description

Accenture seeks a Back-End Engineer to design, build, and operate data infrastructure powering an AI‑driven knowledge platform. You will work across the full back‑end stack, architect APIs, build data pipelines, and own reliability of services used by application teams.

You will hydrate data into Knowledge Graphs, optimize SPARQL queries, and manage vector stores for semantic retrieval at scale. Strong RDF/SPARQL, R2RML, and graph DB experience are essential.