Senior AI Data Engineer: Semantic Graphs & LLM Pipelines

Comply; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

Comply is seeking a Senior AI Data Engineer to turn semantic data models into knowledge graphs, vector search, and LLM-powered pipelines. You’ll own the delivery of semantic layer components and work with data engineers, architects, and our ontologist to ensure AI-ready data products are reliable and scalable.

In this role you’ll build graph schemas, embedding pipelines, and vector DB infrastructure, while applying DataOps practices and collaborating with downstream API teams to drive adoption

Qualifications

• Experience building semantic data infrastructure.
• Experience with knowledge graphs and graph databases.
• Experience with vector embeddings and RAG.
• Strong Python and cloud data platform skills.
• Familiarity with JSON-LD, RDF, OWL, SKOS.

Responsibilities

• Translate ontologist concepts into production semantic layer components.
• Develop and maintain graph schemas and embedding pipelines.
• Build vector search and RAG-enabled data products.
• Ensure data pipelines are observable with DataOps practices.
• Collaborate with ontologists and application teams.

Skills

Semantic data engineering

Knowledge graphs

Graph databases

Vector embeddings

RAG architectures

JSON-LD / semantic web

Python

Cloud platforms (AWS/Azure/GCP)

Tools

Jena Fuseki

Neo4j

Amazon Neptune

Pinecone

Weaviate

Qdrant

pgvector

Airflow

Job description

Comply is seeking a Senior AI Data Engineer to turn semantic data models into knowledge graphs, vector search, and LLM-powered pipelines. You’ll own the delivery of semantic layer components and work with data engineers, architects, and our ontologist to ensure AI-ready data products are reliable and scalable.

In this role you’ll build graph schemas, embedding pipelines, and vector DB infrastructure, while applying DataOps practices and collaborating with downstream API teams to drive adoption