We are seeking an experienced
AI Engineer
with strong expertise in
Graph Databases (Neo4j or Amazon Neptune)
,
Metadata Modelling
, and Enterprise Data Architecture. This role will focus on building intelligent data discovery, knowledge graph, lineage, and AI-powered solutions capable of understanding complex data relationships across large-scale enterprise environments.
The ideal candidate will have experience developing
Knowledge Graphs
, implementing
Graph-based AI solutions
, and designing metadata-driven architectures to support advanced analytics, data governance, lineage, and generative AI use cases.
Key Responsibilities
Design, develop, and maintain enterprise-scale
Knowledge Graphs
using
Neo4j
or
Amazon Neptune
.
Develop AI-powered solutions leveraging graph relationships, metadata, and semantic models.
Build and maintain metadata repositories, taxonomies, ontologies, and business glossaries.
Model complex enterprise datasets and relationships spanning multiple platforms and integration points.
Design graph schemas to support data lineage, impact analysis, governance, and AI-driven discovery.
Implement Retrieval-Augmented Generation (RAG) and Knowledge Graph-based AI capabilities.
Collaborate with Data Engineers, Architects, Data Governance teams,



and Business Stakeholders to define metadata and graph modelling standards.
Create and maintain end-to-end data lineage mappings across source systems, transformation layers, and consumption platforms.
Develop APIs, graph queries, and services supporting AI and data platform initiatives.
Drive best practices around metadata management, semantic modelling, and enterprise information architecture.
Required Skills & Experience
7+ years of experience in Data Engineering, AI Engineering, or Data Architecture.
Strong hands-on experience with
Neo4j
and/or
Amazon Neptune
.
Proven experience building and maintaining
Knowledge Graphs
within large enterprise environments.
Strong understanding of:Graph Data Modelling
Property Graphs
RDF
Ontologies
Semantic Data Models
Hands-on experience in
Metadata Modelling and Metadata Management Frameworks
.
Experience implementing
Data Lineage
,
Impact Analysis
, and
Data Discovery
solutions.
Strong programming skills in Python, Java, or Scala.
Experience with graph query languages such as:Cypher
Gremlin
SPARQL
Experience integrating graph databases with AI/ML and Generative AI solutions.
Robust understanding of enterprise data ecosystems and integration architectures.
#J-*****-Ljbffr

📌 Data Scientist (Graph Db) (New South Wales)
🏢 Synechron
📍 New South Wales