Senior AI Engineer

Job not on LinkedIn

🕒 May 14

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $100k - $170.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• 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. • Engineer LLM-powered services for schema understanding. • Implement SPARQL querying and reasoning layers over knowledge graphs. • Architect and deliver Python-based microservices and batch pipelines. • Build and optimize dimension and fact generation pipelines on Microsoft Fabric. • Define and enforce engineering standards and reusable components for data platforms. • Partner with data architects, domain SMEs, and governance teams. • Conduct code reviews, mentor engineers, and influence technical decisions.

🎯 Requirements

• 6+ years of professional software engineering experience • 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 • Strong problem-solving skills and ability to work in ambiguous, greenfield platform initiatives.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities