Senior Consultant - Semantic Data & AI Engineer

New York, NY, US • Posted 1 day ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Ontologies
  • Mapping
  • Data Quality
  • Generative Artificial Intelligence (AI)
  • Use Cases
  • Mentorship
  • Modeling
  • Documentation
  • Semantic Search
  • Data Engineering
  • Semantic Technologies
  • Semantics
  • Resource Description Framework
  • OWL
  • SPARQL
  • JSON
  • Neo4j
  • Graph Databases
  • Amazon Neptune
  • MarkLogic
  • Apache Jena
  • Python
  • Java
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Automated Testing
  • Natural Language Processing
  • Machine Learning (ML)
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Databricks
  • Snow Flake Schema
  • Amazon Redshift
  • Microsoft
  • Agile

Summary

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.

Responsibilities & Qualifications
  • 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

Requirements
  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91166607
  • Position Id: 3bb201e7b5f9251380ff60d459c797fb
  • Posted 1 day ago
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