Backend Engineer, Knowledge Graph & AI

Accenture; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture in the United States is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will architect APIs, build data pipelines, and own the reliability of services used by product teams.

This role requires hands-on experience with graph databases, RDF/SPARQL, and vector storage, plus Python or Java for automation. It’s a hybrid role with travel to client sites, offering a broad benefits package and the chance to impact

Qualifications

• 3+ years in Knowledge Graph hydration and ontology-based mapping (RDF/SPARQL).
• 3+ years with R2RML or similar relational-to-graph mapping frameworks.
• 3+ years with graph databases (Neo4J/StarDog/GraphWise) and Elasticsearch/OpenSearch; strong SQL.
• 3+ years with relational databases (PostgreSQL/MySQL/SQL Server); schema design and indexing.
• 3+ years deploying vector databases (Pinecone/Weaviate/Milvus/Qdrant).
• 3+ years 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 efficient graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal application and product teams.
• Performance-tune graph database queries, indexing strategies, 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 (PII/PHI).
• Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.

Skills

Knowledge Graph

RDF

SPARQL

Semantic tech

Graph databases

Elasticsearch/OpenSearch

SQL proficiency

Python

Java

REST APIs

Education

Bachelor's degree or equivalent

Tools

Docker

Kubernetes

Job description

Accenture in the United States is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will architect APIs, build data pipelines, and own the reliability of services used by product teams.

This role requires hands-on experience with graph databases, RDF/SPARQL, and vector storage, plus Python or Java for automation. It’s a hybrid role with travel to client sites, offering a broad benefits package and the chance to impact