Knowledge Graph Architect & Backend Lead

Accenture; Culver City (CA); Hybrid; USD 94,000 - 294,000; Full time

Job summary

Accenture in the United States is seeking a Back-End Engineer to design, build, and operate the data infrastructure behind our AI-powered knowledge platform. You will span the full back-end stack, architect APIs, build data pipelines, and manage multi-modal databases.

You will work with RDF/OWL, SPARQL, vector stores, and relational databases, delivering scalable services with strong reliability. Travel up to 20-80% is required.

Qualifications

• Minimum 5 years in Knowledge Graph data hydration and ontology-based data mapping.
• Experience with graph databases and search technologies.
• Strong SQL and data pipeline design.

Responsibilities

• Design, build, and operate the data infrastructure powering our AI-driven knowledge platform.
• Architect APIs and data pipelines; manage multi-modal databases.
• Ensure reliability and performance of services used by applications and product teams.
• Develop vector storage and semantic retrieval capabilities at scale.
• Collaborate with ontologists and architects to support Knowledge Graph implementations.

Skills

Knowledge Graph

RDF/SPARQL

Ontology Mapping

R2RML Mapping

Graph Databases

SQL Databases

Vector Databases

Python/Java

REST APIs

Data Pipelines

Education

Bachelor's degree or equivalent

Tools

GraphDB

Stardog

Neo4j

AWS Neptune

Elasticsearch

OpenSearch

Pinecone

Weaviate

Milvus

Qdrant

Docker

Kubernetes

Git

PostgreSQL

MySQL

SQL Server

Job description

Accenture in the United States is seeking a Back-End Engineer to design, build, and operate the data infrastructure behind our AI-powered knowledge platform. You will span the full back-end stack, architect APIs, build data pipelines, and manage multi-modal databases.

You will work with RDF/OWL, SPARQL, vector stores, and relational databases, delivering scalable services with strong reliability. Travel up to 20-80% is required.