Back-End Engineer, Knowledge Graph & AI Pipelines

Accenture; Mountain View (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructures 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 product teams.

Knowledge Graph and semantic tech form the core focus, with responsibilities spanning ingestion, transformation, storage, retrieval, and delivery at enterprise scale.

Qualifications

• Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping, including RDF, SPARQL, and semantic technologies.
• Minimum 3 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.
• Minimum 3 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch and strong SQL proficiency.
• Minimum 3 years hands-on experience with relational databases (PostgreSQL/MySQL/SQL Server), including schema design and query optimization.
• Minimum 3 years experience deploying and operating vector databases (Pinecone/Weaviate/Milvus/Qdrant) in production environments.
• Minimum 3 years Proficiency in Python or Java for automation and REST API development.

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 retrieval at scale.
• Design and maintain scalable graph query APIs for internal teams.
• Performance-tune graph database 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 sensitive data (PII/PHI).
• Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.

Skills

Knowledge Graph

RDF/SPARQL

Python or Java

REST APIs

Graph database

SQL proficiency

Data ingestion pipelines

Containerization (Docker/Kubernetes)

Cloud deployment

Vector DB concepts

Education

Bachelor's degree or equivalent

Tools

StarDog

GraphWise

Neo4J

Elasticsearch/OpenSearch

Pinecone/Weaviate/Milvus/Qdrant

PostgreSQL/MySQL/SQL Server

R2RML

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructures 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 product teams.

Knowledge Graph and semantic tech form the core focus, with responsibilities spanning ingestion, transformation, storage, retrieval, and delivery at enterprise scale.