Senior AI Engineer

Allstate Insurance Co.; Illinois; Híbrido; USD 100.000 - 171.000; Jornada completa

Descripción de la vacante

Allstate Insurance Co. is seeking a Senior AI Engineer to join the Enterprise Intelligence Factory team.

You will design agentic AI pipelines, develop RDF/OWL ontologies, and build LLM-powered services to enable semantic alignment and scalable data modelling across enterprise data sources. You will implement SPARQL layers over knowledge graphs, and deliver Python-based microservices and batch pipelines that integrate semantic reasoning with modern data workflows, helping produce business-ready

Formación

• 6+ years of professional software engineering experience.
• Strong proficiency in Python and GenAI.
• Hands-on experience with LLM-based systems.

Responsabilidades

• Design, build, and maintain agentic AI pipelines to automate semantic mapping and ontology-driven reasoning.
• Create and evolve enterprise ontologies in RDF/OWL aligned to CIM.
• Engineer LLM-powered services for schema understanding and metadata generation.
• Implement SPARQL querying and reasoning over knowledge graphs to drive transformations.
• Architect Python-based microservices and batch pipelines integrating semantic reasoning.

Conocimientos

Python

GenAI

LLMs

RDF/OWL/SPARQL

Agentic AI frameworks

Data engineering

Azure / Fabric

Problem solving

Herramientas

Google ADK

LangChain

SPARQL

Descripción del empleo

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 Responsibilities

• Design, build, and maintain agentic AI pipelines (using Google ADK or similar frameworks) to automate semantic mapping, dimension mining, and ontology-driven reasoning.
• Create and evolve enterprise ontologies in RDF/OWL, including upper ontologies and domain extensions aligned to CIM (where applicable), to enable reusable 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 scale.
• Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream transformations and ensure consistent interpretation of business concepts.
• Architect and deliver Python-based microservices and batch pipelines that integrate semantic reasoning with modern data-engineering workflows.
• Build and optimize dimension and fact generation pipelines on Microsoft Fabric (Lakehouse, Spark, SQL, orchestration) to produce business-ready star schemas from heterogeneous sources.
• Define and enforce engineering standards, design patterns, and reusable components for semantic and AI-driven data platforms (quality, observability, security, and performance).
• Partner with data architects, domain SMEs, and governance teams to validate semantic definitions, manage change, and ensure platform scalability 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).
• 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.

Preferred Skills

• Experience with enterprise data models (e.g., CIM or canonical models).
• Familiarity with semantic alignment, ontology mapping, or data cataloguing tools.
• Exposure to MLOps / LLMOps, model evaluation, and AI observability.
• Knowledge of distributed systems, CI/CD pipelines, and containerisation.
• Experience building AI-assisted analytics or semantic layers for BI or NLQ use cases.

Compensation

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.

At Allstate, we work hard to help people live a good life every day. Allstaters are dedicated to serving clients, customers, and communities, which allows employees to find meaning and value in their work. Allstate offers an environment that fosters innovative thinking where you’ll be able to explore your ideas and feel proud of the work you do. Allstate helps protect nearly 16 million households with auto, home, life, and retirement products. We want every professional connected to Allstate to be committed to giving our customers the best and that means finding the best talent. We want you to be our next great addition.

It’s easy to search and apply for a new opportunity with Allstate. Simply use the links below to identify the openings that interest you.

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