Backend Knowledge Graph Engineer for AI Platform

Accenture; Bentonville (AR); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will work across the full back-end stack, architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query,

Qualifications

• 3+ years in Knowledge Graph data hydration and ontology-based mapping (RDF/Sparql).
• 3+ years with mapping frameworks like R2RML for relational-to-graph transforms.
• 3+ years with graph databases (Neo4j, StarDog, GraphWise) and Elasticsearch/OpenSearch.
• 3+ years with relational DBs (PostgreSQL/MySQL/SQL Server).
• 3+ years deploying vector DBs (Pinecone/Weaviate/Milvus/Qdrant).
• 3+ years Python or Java for automation and API services.
• Bachelor’s degree or equivalent work experience (12y).

Responsibilities

• Hydrate structured and semi-structured data into Knowledge Graphs by mapping sources 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 schemas and queries to support graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage and retrieval at scale.
• Design and maintain scalable graph query APIs for internal teams.
• Performance-tune graph DB queries, indexing, and data access patterns.
• Own containerization, deployment, and monitoring of graph services in cloud environments.
• Ensure data quality, ontology alignment, and secure handling of PII/PHI.

Skills

Knowledge Graph

RDF/SPARQL

Graph Databases

R2RML

Vector Databases

Python/Java

REST APIs

SQL

Data Modeling

Education

Bachelor's degree or equivalent

Tools

Neo4j

Elasticsearch/OpenSearch

Pinecone/Weaviate/Milvus/Qdrant

Docker

Kubernetes

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will work across the full back-end stack, architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query,