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# Senior Consultant Semantic Data & AI Engineer

- **Company:** EXPERT RECRUITING SOLUTIONS, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Automation of Tests, Microsoft Azure, BigQuery, Computer Programming, Continuous Integration, Information Engineering, Data Transformation, Data Systems, Graph Database, JSON, Python (Programming Language), Machine Learning, Natural Language Processing, Neo4j, Web Ontology Language, Resource Description Framework (RDF), Search Technologies, Software Deployment, SPARQL, TigerGraph, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Snowflake, Marklogic, Generative AI, Git, Data Layers, Build Management, Microsoft Fabric, Containerization, Graph RAG, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/2a4ebdcf-5d1a-4777-b3aa-06813b3f67d8/senior-consultant-semantic-data-ai-engineer

## About the Role

Our client is seeking a Senior Consultant Semantic Data & AI Engineer with 8 12 years of experience to design and deploy knowledge graphs, semantic layers, and AI-driven data solutions. This role combines deep expertise in graph technologies and semantic standards with practical application of modern machine learning and cloud platforms., * 8 12 years of professional experience in data engineering, semantic technologies, or related fields

 * Expert-level knowledge of semantic standards and languages: RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, and Turtle
 * Hands-on experience with graph databases and platforms: Neo4j, Stardog, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, or TypeDB
 * Strong programming skills in Python and Java; proficiency with Git, CI/CD, automated testing, and containerization
 * Demonstrated expertise in data pipelines, NLP, machine learning, and vector search technologies
 * Experience with cloud platforms: AWS, Azure, Google Cloud, or tools such as Databricks, Snowflake, BigQuery, Redshift, or Microsoft Fabric
 * Agile methodology experience and a proven track record of delivering technical solutions in collaborative environments

## Description

* Design and build knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products; translate business concepts into machine-readable semantic models
 * Develop end-to-end data pipelines for acquiring, transforming, mapping, validating, and loading information; implement data-quality controls using SHACL validation
 * Integrate knowledge graphs with generative AI, RAG/GraphRAG, semantic search, and LLM applications; support NLP and document-intelligence use cases
 * Develop Python or Java based data transformations, APIs, and services; create automated tests and support CI/CD pipelines and production deployments
 * Lead technical workstreams, mentor junior consultants, and facilitate requirements and modeling sessions with stakeholders
 * Participate in graph-platform evaluations and production deployments; produce technical designs, semantic models, and comprehensive documentation
 * Build vector search and semantic search capabilities; demonstrate proficiency in cloud platforms and containerized deployments