Insurance · Insurance
Allstate currently has seven active job listings related to artificial intelligence. The majority of these roles, 57%, are focused on agents, with serving infrastructure also representing a significant portion at 29%. The company is hiring exclusively in the United States for these positions. Frequent technology tags include agent orchestration, model serving, and inference infrastructure, suggesting a focus on deploying and managing AI agents.
Currently tracking 6 active AI roles, with 9 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$291k (avg $152k).
Allstate currently has 4 active AI-related roles in our index. The most common open titles are: Lead AI Cloud Platform Engineer, Senior AI Cloud Platform Engineer, Senior AI Engineer, Senior Consultant II – AI/ML Engineer (.NET Focus). Most positions are in Engineering.
Allstate's active AI hiring is concentrated in: agents (75%), serving infrastructure (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Allstate is hiring AI talent in: United States (4 roles).
Job postings at Allstate most frequently mention: Semantic Search, SQL, ML Ops, Spark, Python.
In the past 30 days, Allstate has posted 8 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Consultant II – AI/ML Engineer (.NET Focus) Senior Consultant II – AI/ML Engineer with a strong .NET engineering foundation and hands-on experience applying Machine Learning, Generative AI, and LLM technologies in enterprise environments. This is an applied engineering role focused on designing, building, and integrating AI-powered solutions into production systems rather than conducting research. The position combines AI/ML work with practical software engineering, data processing, and Azure-based solution delivery. | Agent | 7 |
| Lead AI Cloud Platform Engineer Lead AI Cloud Platform Engineer responsible for building and operating cloud application development and hosting platforms for GenAI on Azure, AWS, and GCP. The role involves technical expertise in GenAI cloud platforms, collaborating with product teams on AI strategy, and executing operational tasks and engineering new solutions. It emphasizes paired programming, TDD, infrastructure engineering, and continuous delivery. | Agent | 7 |
| Senior AI Engineer Senior AI Engineer to build an enterprise Semantic Ontology & Dimension Factory Platform. This platform combines semantic ontologies, knowledge graphs, and agentic AI to generate business-ready star schemas from enterprise data. The role involves designing and implementing agent-driven pipelines using LLMs and semantic technologies (RDF/OWL, SPARQL) for data modeling and alignment, as well as building Python microservices and data pipelines on Microsoft Fabric. | AgentData | 7 |