Back-End Engineer for AI-Powered Knowledge Graph

Accenture; Arlington (VA); Hybrid; USD 39,000 - 118,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Paid holidays and PTO

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering an AI-driven knowledge platform. You’ll work across the full back-end stack, architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability and performance for internal product teams.

You’ll map data to ontology models, optimize graph queries, and deploy vector databases for embedding storage at enterprise scale. Hybrid role with travel required.

Qualifications

• Minimum 3 years experience with Knowledge Graph data hydration and ontology-based data mapping.
• Experience with RDF, SPARQL, and semantic technologies.
• Experience with graph databases and Elasticsearch/OpenSearch.
• Hands-on experience with relational DBs and vector databases in production.
• Proficiency in Python or Java for automation and API development.
• Bachelor's degree or equivalent experience, minimum 12 years.

Responsibilities

• Hydrate data into Knowledge Graphs by mapping source data to ontology models.
• Develop data mapping and transformation workflows using R2RML or similar.
• Write and optimize SPARQL queries for graph loading and retrieval.
• Build and maintain data ingestion pipelines from enterprise systems.
• Design and optimize relational schemas to support graph hydration and ETL.
• Deploy and maintain vector database infrastructure for embedding storage and retrieval.
• Design scalable graph query APIs for internal teams.
• Performance-tune graph queries and data access patterns.
• Own containerization, deployment, and monitoring of graph services in cloud.
• Ensure data quality, ontology alignment, and secure handling of PII/PHI.
• Collaborate with ontologists, architects, and teams on Knowledge Graphs.

Skills

Knowledge Graph data hydration

Ontology mapping

RDF/SPARQL

Python or Java

REST APIs

Containerization (Docker/Kubernetes)

Cloud knowledge (AWS/Azure/GCP)

Data ingestion pipelines

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Docker

Kubernetes

Neo4J

Elasticsearch/OpenSearch

PostgreSQL

Pinecone/Weaviate/Milvus/Qdrant

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering an AI-driven knowledge platform. You’ll work across the full back-end stack, architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability and performance for internal product teams.

You’ll map data to ontology models, optimize graph queries, and deploy vector databases for embedding storage at enterprise scale. Hybrid role with travel required.