Senior AI Engineer
AI summary of the role
Design, build, and maintain agentic AI pipelines (using Google ADK or similar) to automate semantic mapping, dimension mining, and ontology-driven reasoning.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- 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.
- Architect and deliver Python-based microservices and batch pipelines on Microsoft Fabric (Lakehouse, Spark, SQL, orchestration) to produce business-ready star schemas.
What you’ll bring
- 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).
Technologies
Python · GenAI · LLM · RDF · OWL · SPARQL · Google ADK · LangChain · Microsoft Fabric · Azure
About Allstate Insurance Company
90+ year US personal-lines insurer selling auto, home, and specialty coverage direct to consumers and via independent agents, known for pricing and telematics leadership.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description We are seeking a Senior AI Engineer on the Enterprise Intelligence Factory team to play a foundational role in building the enterprise Semantic Ontology & Dimension Factory Platform. This platform enables AI‑ready analytics by combining semantic ontologies, knowledge graphs, agentic AI, and data engineering to automatically generate business‑ready star schemas from heterogeneous enterprise data sources. In this role, you will design and implement
More from the job description
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description We are seeking a Senior AI Engineer on the Enterprise Intelligence Factory team to play a foundational role in building the enterprise Semantic Ontology & Dimension Factory Platform. This platform enables AI‑ready analytics by combining semantic ontologies, knowledge graphs, agentic AI, and data engineering to automatically generate business‑ready star schemas from heterogeneous enterprise data sources. In this role, you will design and implement agent‑driven pipelines that leverage RDF/OWL ontologies, SPARQL, and Large Language Models (LLMs) to perform semantic alignment, dimension mining, and AI‑assisted data modelling at scale. You will work at the intersection of AI, semantics, and modern data platforms, helping establish engineering patterns and best practices for the team. This is a hands‑on, senior individual-contributor role, ideal for engineers who enjoy building core platform capabilities rather than isolated experiments. Key Res [... source excerpt omitted ...] and adoption. Conduct code reviews, mentor engineers, and influence technical decisions across the platform to raise engineering quality and delivery velocity. Required Skills & 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 (e.g., Google ADK, LangChain agents, or similar). Strong background in data engineering concepts (ETL/ELT, star schemas, metadata‑driven pipelines [... source excerpt omitted ...] ils, LLM Orchestration, Ontology, Python (Programming Language) Compensation Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not
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