Senior Knowledge Graph Platform Engineer — GCP & AI Integration

Our client is a leader in enterprise data solutions specializing in advanced Knowledge Graph capabilities using LPG and RDF ecosystems, cloud platform engineering, and AI-enabled retrieval and reasoning techniques.

• 3+ years of experience in database and data platform engineering with focus on graph database implementation
• Expertise with LPG stack: Cypher/Gremlin, Neo4j, FalkorDB, JanusGraph, or similar
• Hands-on experience with RDF stack: SPARQL, GraphDB, Stardog, Blazegraph, Neptune RDF, or similar
• Understanding of graph standards and modeling: RDF, RDFS, OWL, SHACL, ontology governance
• Practical experience delivering solutions on GCP (GKE, Cloud Run, Dataflow, BigQuery, Cloud Storage, IAM, monitoring)
• Experience integrating LLMs into enterprise systems including embeddings, vector/hybrid retrieval, GraphRAG workflows
• Strong software engineering skills in Python, Java, Scala, or Node.js including API development, CI/CD, and IaC

Nice to have:

• Experience designing multi-tenant platforms and platform productization
• Familiarity with model evaluation, responsible AI practices, and guardrails
• Knowledge of Kubernetes operators, GitOps, and advanced observability tools
• Exposure to FinOps, capacity planning, and cloud cost optimization for high-memory workloads

• Architect, build, and maintain end-to-end graph platform lifecycle from design to deployment and operational excellence
• Create and optimize graph data models based on LPG and RDF standards including ontology and schema governance
• Develop and manage production-grade ingestion pipelines (batch and streaming), ensuring data quality and lineage
• Ensure high availability, security, and observability of the platform on GCP adhering to SRE best practices
• Define engineering standards for performance tuning, query optimization, scalability, and cost control
• Collaborate with cross-functional teams (product, data, architecture, security) to deliver reusable graph platform services
• Implement AI-powered retrieval and reasoning workflows using LLMs, RAG, and GraphRAG for business use cases

Only candidates with an existing legal right to work in the European Union will be considered for this role.