Senior Consultant – Semantic Data & AI Engineering
Core
Design and deliver semantic data solutions, knowledge graphs, and AI engineering to make enterprise information usable for AI, ML, and business applications.
Role type
Senior hands-on IC semantic data & AI engineer (consulting)
Builds
Knowledge graphs, semantic layers, ontologies, taxonomies, graph-based data products, and AI-integrated data pipelines
Domain
Financial services / Data engineering & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Knowledge graph engineering, semantic modeling, data pipeline development, Python/Java programming, NLP, cloud platform integration, CI/CD, technical stakeholder collaboration
Preferred skills
Financial services domain expertise, data governance, entity resolution, responsible AI, cloud/data-engineering/AI/ML certifications
Technologies
RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, Turtle, Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, Redshift
Responsibilities
Design and build knowledge graphs and semantic layers; develop data pipelines for structured and unstructured data; integrate knowledge graphs with generative AI and RAG; implement semantic data quality controls; lead technical workstreams and mentor junior staff
Seniority
Senior, hands-on IC
