Senior AI Engineer: Semantic Ontology & Knowledge Graphs

Allstate Insurance Company; United States; On-site; USD 100,000 - 170,500; Full time

Job summary

Allstate Insurance Company is seeking a Senior AI Engineer to join our Enterprise Intelligence Factory team. This role involves building foundational AI platforms that leverage semantic technologies and knowledge graphs. The ideal candidate will have extensive experience in software engineering, with a strong focus on Python and GenAI. Responsibilities include designing AI pipelines, engineering LLM services, and ensuring data platform scalability. Competitive compensation of $100,000 - $170,500 annually, based on experience and qualifications.

Qualifications

• 6+ years of professional software engineering experience with strong proficiency in Python and GenAI.
• Hands-on experience building LLM-based systems using commercial or open-source models.
• Solid understanding of semantic technologies: RDF, OWL, ontologies, knowledge graphs, and SPARQL.
• Experience designing or working with agentic AI frameworks.

Responsibilities

• Design AI pipelines to automate semantic mapping and ontology-driven reasoning.
• Engineer LLM-powered services for schema understanding and metadata generation.
• Implement reasoning layers over knowledge graphs to drive transformations.
• Architect and deliver Python-based microservices and integrations.

Skills

Python

GenAI

RDF

OWL

SPARQL

Data engineering concepts

Agentic AI frameworks

Cloud platforms

Tools

Google ADK

Microsoft Azure

Microsoft Fabric

Job description

Allstate Insurance Company is seeking a Senior AI Engineer to join our Enterprise Intelligence Factory team. This role involves building foundational AI platforms that leverage semantic technologies and knowledge graphs. The ideal candidate will have extensive experience in software engineering, with a strong focus on Python and GenAI. Responsibilities include designing AI pipelines, engineering LLM services, and ensuring data platform scalability. Competitive compensation of $100,000 - $170,500 annually, based on experience and qualifications.