Senior AI Engineer
Core
Building an enterprise Semantic Ontology & Dimension Factory Platform that combines semantic ontologies, knowledge graphs, and agentic AI to automatically generate business-ready star schemas from heterogeneous data sources.
Role type
Senior individual-contributor AI Engineer (Semantic Data Platform)
Builds
Enterprise semantic layers, agentic AI pipelines, and automated star schema generation for analytics.
Domain
Insurance technology, semantic web, knowledge graphs, and data engineering.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, GenAI, LLM-based systems, RDF/OWL ontologies, SPARQL, agentic AI frameworks, data engineering (ETL/ELT, star schemas), cloud platforms (Azure/Fabric)
Preferred skills
Enterprise data models (CIM), semantic alignment tools, LLMOps, distributed systems, CI/CD, containerization
Technologies
Google ADK, LangChain, RDF, OWL, SPARQL, Python, Microsoft Fabric, Azure, Spark
Responsibilities
Design and maintain agentic AI pipelines for semantic mapping and ontology reasoning; Create and evolve enterprise ontologies in RDF/OWL; Engineer LLM-powered services for schema understanding and metadata generation; Implement SPARQL querying layers over knowledge graphs; Architect Python-based microservices integrating semantic reasoning with data workflows; Build and optimize dimension/fact generation pipelines on Microsoft Fabric; Define engineering standards and mentor engineers.
Seniority
Senior, hands-on IC