Backend Knowledge Graph Engineer for AI Platform

Accenture; Kirkland (WA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Travel 20-80%

Medical, dental, vision insurance

401(k) plan with match

Paid holidays and paid time off

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure that powers an AI-driven knowledge platform. You will architect APIs, build data pipelines, and own reliable services across the back-end stack, with emphasis on knowledge graphs, data ingestion, and semantic technologies.

You will work across graph databases, relational systems, vector stores, and REST/GraphQL API design, ensuring data quality, security, and enterprise-scale delivery.

Qualifications

• Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of 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, including strong SQL proficiency.
• Minimum 3 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.
• Minimum 3 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.
• Minimum 3 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

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 hydration

RDF & SPARQL

Semantic technologies

Graph databases

Python or Java

REST API design

SQL proficiency

Education

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

Tools

Elasticsearch/OpenSearch

PostgreSQL

MySQL

SQL Server

Vector databases (Pinecone, Weaviate, Milvus, Qdrant)

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure that powers an AI-driven knowledge platform. You will architect APIs, build data pipelines, and own reliable services across the back-end stack, with emphasis on knowledge graphs, data ingestion, and semantic technologies.

You will work across graph databases, relational systems, vector stores, and REST/GraphQL API design, ensuring data quality, security, and enterprise-scale delivery.