Responsibilities:

• Design, build, and maintain agentic AI pipelines to automate semantic mapping, dimension mining, and ontology-driven reasoning
• Create and evolve enterprise ontologies in RDF/OWL including upper ontologies and domain extensions aligned to CIM
• Engineer LLM-powered services for schema understanding, semantic alignment, ontology enrichment, and AI-assisted metadata generation
• Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream transformations and ensure consistent interpretation of business concepts
• Establish engineering patterns and best practices for the team
• Work at the intersection of AI, semantics, and modern data platforms

Additional responsibilities:

• Play a foundational role in building the enterprise Semantic Ontology & Dimension Factory Platform
• Focus on building core platform capabilities rather than isolated experiments

More skills:

agentic AI pipelines, RDF/OWL ontologies, knowledge graphs, semantic ontologies, AI-assisted data modelling, semantic alignment, dimension mining, ontology-driven reasoning, schema understanding, ontology enrichment, AI-assisted metadata generation

Other:

• Role is a hands-on, senior individual-contributor position
• Allstate has over 90 years of innovation in insurance and technology
• The platform enables AI-ready analytics by combining semantic ontologies, knowledge graphs, agentic AI, and data engineering