Lead Knowledge Graph Engineer_Remote

Job Title: Lead Knowledge Graph Engineer Location: Remote
Employment Type: Contract Experience Required: 10+ Years 
Job Overview

• We are seeking an experienced Lead Knowledge Graph Engineer to evaluate, optimize, and scale enterprise semantic data infrastructure.

• The ideal candidate will have deep expertise in Knowledge Graphs, Semantic Web technologies, ontology design, and GraphRAG architectures.

• This role will play a key part in bridging complex biomedical data with next-generation AI and Generative AI solutions.

 Key Responsibilities

• Conduct technical health assessments of existing graph databases and cluster infrastructure.

• Design, review, and optimize RDF/OWL ontologies and Labeled Property Graph (LPG) schemas for enterprise scalability.

• Align enterprise data models with biomedical standards including MeSH, SNOMED, and UMLS.

• Improve graph database performance by optimizing data ingestion pipelines and query execution.

• Develop strategic architecture recommendations, including cloud migration and build-versus-buy assessments.

• Design and implement integrations between Knowledge Graphs and Large Language Models (LLMs) using GraphRAG frameworks.

• Partner with Research, Clinical, and business stakeholders to deliver scalable semantic AI solutions.

 Required Qualifications

• 10+ years of experience working with Knowledge Graphs, Triple Stores, or Labeled Property Graphs.

• Strong expertise in RDF, SPARQL, OWL, and Semantic Web technologies.

• Hands-on experience with at least one RDF graph database such as Stardog, AnzoGraph, Blazegraph, or Apache Jena.

• Experience with property graph databases such as Neo4j or TigerGraph is preferred.

• Strong programming experience with Python and Java.

• Proficiency with graph query languages including SPARQL, Cypher, and Gremlin.

• Extensive experience in ontology design, semantic modeling, and Linked Data principles.

• Strong understanding of W3C Semantic Web standards and URI design strategies.

 Preferred Qualifications

• Experience with GraphRAG, Context Graphs, AI Agents, and Generative AI applications.

• Experience working with biomedical datasets such as ChEMBL, Ensembl, OBO Foundry, and Monarch Initiative.

• Pharmaceutical industry experience with biomedical data, gene-disease associations, chemistry structures, and CMC data.

• Experience with Azure or AWS cloud platforms.

• Knowledge of modern data platforms including Snowflake, Databricks, and Amazon Redshift.

• Familiarity with Agile tools such as Jira, Confluence, and ServiceNow.

• AWS Cloud Practitioner certification is a plus.

 Mandatory Skills

• RDF

• SPARQL

• OWL

• Semantic Modeling

• Ontology Design

• Python

• Stardog / AnzoGraph / Blazegraph / Apache Jena

• Knowledge Graph Engineering