Senior AI Engineer

The Allstate Corporation

Job Overview

Location

USA - IL (Remote)

Job Type

Full-time

Full Job Description

📋 Description

• Design, build, and maintain agentic AI pipelines using Google ADK or similar frameworks to automate semantic mapping, dimension mining, and ontology-driven reasoning across enterprise data sources.
• Create and evolve enterprise ontologies in RDF/OWL, including upper ontologies and domain-specific extensions aligned with CIM standards to enable reusable, scalable enterprise semantics.
• Engineer LLM-powered services for schema understanding, semantic alignment, ontology enrichment, and AI-assisted metadata generation with a focus on accuracy, traceability, and production-scale deployment.
• Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream data transformations and ensure consistent interpretation of business concepts across systems.
• Architect and deliver Python-based microservices and batch pipelines that integrate semantic reasoning with modern data engineering workflows, ensuring seamless interoperability with existing data platforms.
• Build and optimize dimension and fact generation pipelines on Microsoft Fabric (including Lakehouse, Spark, and SQL orchestration) to automatically produce business-ready star schemas from heterogeneous enterprise data sources.
• Define and enforce engineering standards, design patterns, and reusable components for semantic and AI-driven data platforms, with emphasis on quality, observability, security, and performance.
• Partner with data architects, domain subject matter experts, and governance teams to validate semantic definitions, manage ontology change cycles, and ensure platform adoption and scalability across the enterprise.
• Conduct code reviews, mentor junior engineers, and influence technical direction across the Enterprise Intelligence Factory team to elevate engineering quality and accelerate delivery velocity.
• Work at the intersection of AI, semantics, and data engineering to establish foundational platform capabilities—not isolated experiments—that support enterprise-wide AI-ready analytics.
• Leverage agentic AI frameworks to autonomously discover, align, and model business dimensions from unstructured and semi-structured data sources using knowledge graphs and ontologies.
• Ensure all semantic and AI-driven pipelines adhere to strict traceability requirements, enabling auditability of model inputs, reasoning steps, and output transformations.
• Operate in a greenfield platform environment requiring independent problem-solving, architectural judgment, and the ability to navigate ambiguity while delivering production-grade solutions.
• Collaborate cross-functionally to align semantic models with business reporting needs and translate domain-specific requirements into technical implementations for analytics and BI consumers.
• Contribute to the evolution of AI guardrails, LLM orchestration logic, and model evaluation frameworks to maintain reliability and reduce hallucination risk in ontology-driven reasoning systems.
• Integrate semantic layers with BI and natural language query (NLQ) use cases to enable enterprise users to interact with data through intuitive, semantically grounded interfaces.

🎯 Requirements

• 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 (e.g., Google ADK, LangChain agents, or similar)
• Strong background in data engineering concepts (ETL/ELT, star schemas, metadata-driven pipelines)
• Experience building and operating systems on cloud platforms, preferably Microsoft Azure / Microsoft Fabric

🏖️ Benefits

• Annual compensation range of $100,000.00 - $170,500.00 based on experience and qualifications
• Remote work availability within the USA
• Opportunity to shape enterprise-wide AI and semantic data platforms with high strategic impact
• Exposure to cutting-edge AI, ontology, and knowledge graph technologies in a large-scale enterprise environment
• Work on foundational, long-term platform initiatives rather than isolated experiments or short-term projects
• Participation in a team that influences industry-leading practices in AI-driven data modeling and analytics

Skills & Technologies

Python

Azure

Apache Spark

Data Science

Senior

Remote

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The Allstate Corporation

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About The Allstate Corporation

The Allstate Corporation is a publicly traded insurance holding company headquartered in Northfield Township, Illinois. Through subsidiaries, it offers personal property, casualty, life, and health insurance, roadside assistance, and financial services across the United States and Canada. Founded in 1931 as part of Sears, Roebuck and Co., it became independent in 1993 and now serves approximately 16 million households. Allstate distributes products via exclusive agents, independent agencies, direct-to-consumer channels, and online platforms, underwriting risks through brands such as Allstate, Encompass, and Esurance, while also investing in technology-driven ventures like Arity and Allstate Identity Protection.

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