Senior Ai Engineer

The Allstate Corporation

Base: $100,000.00 - $170,500.00 annually; bonus/eq...
6+ years professional software engineering experience
Python programming proficiency
Rdf/owl ontology and knowledge graph expertise
This role involves building a foundational Enterprise Intelligence Factory Platform that combines semantic ontologies, knowledge graphs, and agentic AI to automate business-ready data modeling

Job Summary

  • This role involves building a foundational Enterprise Intelligence Factory Platform that combines semantic ontologies, knowledge graphs, and agentic AI to automate business-ready data modeling.
  • The successful candidate will design agent-driven pipelines using Python and LLMs to perform semantic alignment and dimension mining across heterogeneous enterprise data sources.
  • Allstate offers an opportunity to shape the future of protection while working on greenfield initiatives that challenge the status quo and push technical skills to the next level.

Matching Summary

This role involves building a foundational Enterprise Intelligence Factory Platform that combines semantic ontologies, knowledge graphs, and agentic AI to automate business-ready data modeling.

Salary

Base: $100,000.00 - $170,500.00 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • 6+ years professional software engineering experience
  • Python programming proficiency
  • RDF/OWL ontology and knowledge graph expertise
  • SPARQL querying and reasoning implementation
  • Agentic AI framework development (Google ADK/LangChain)
  • Microsoft Fabric platform experience
  • LLM-based system architecture

Nice-to-have

  • Experience with CIM enterprise data models
  • Familiarity with MLOps and LLMOps practices
  • Knowledge of distributed systems and CI/CD pipelines
  • Background in AI-assisted analytics for BI use cases
  • Experience with model evaluation and AI observability

Key Requirements

  • 6+ years of professional software engineering experience
  • Strong proficiency in Python and GenAI technologies
  • Hands-on experience with commercial or open-source LLM models
  • Solid understanding of semantic technologies including RDF and OWL
  • Experience designing systems on Microsoft Azure or Fabric

Work Rights

Not specified

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