Semantic Web Engineer

Role: Senior Semantic Web Engineer

Location: Remote

Experience:Minimum 5+ Years

We are seeking a Senior Semantic Web Engineer to join a growing team focused on advanced knowledge graph technologies, semantic web engineering, data modeling, and cloud-based solutions. This role offers an opportunity to work on innovative healthcare data intelligence platforms by leveraging semantic technologies, AI, LLMs, and graph-based architectures.

Responsibilities

Serve as a subject matter expert in semantic web development and knowledge graph engineering.

Collaborate with architects, engineers, and data scientists to design and implement scalable semantic web applications.

Contribute to initiatives involving AI, Large Language Models, knowledge graphs, and advanced graph technologies.

Define and drive technical direction for semantic capabilities, ensuring scalable and robust solutions.

Research, evaluate, and propose innovative approaches to solve complex technical challenges.

Design and build scalable knowledge graph solutions, including data ingestion, linking, integration, and querying.

Develop clean, maintainable, and well-documented code while supporting automation for testing, integration, and deployment.

Partner with product owners and business stakeholders to translate requirements into effective technical solutions.

Evaluate, recommend, and develop taxonomies and ontologies to support business and domain needs.

Implement semantic web tools, platforms, and enterprise graph management solutions.

Support ontology governance processes and semantic data management best practices.

Provide technical mentorship and guidance to junior engineers.

Required Skills

Bachelor's or Master's degree in Computer Science, Information Technology, or a related STEM field.

Minimum 5 years of hands-on experience in Semantic Web Engineering or Knowledge Graph Engineering.

Experience leading or contributing to complex semantic web and graph technology projects.

Hands-on experience with graph databases and triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB.

Strong programming skills in Python.

Knowledge of Java, C#, JavaScript, or Clojure is a plus.

Strong understanding of RDF, OWL, SPARQL, and SHACL.

Experience with relational databases and graph databases.

Strong data modeling and ontology design experience.

Experience working with cloud-based solutions and distributed systems.

Strong analytical, problem-solving, and communication skills.

Preferred Skills

Experience with healthcare data and healthcare analytics platforms.

Knowledge of AI, Large Language Models, and graph-based AI applications.

Experience with enterprise knowledge graph architectures.

Familiarity with semantic data governance and metadata management.

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.