Allstate
Insurance · Insurance
- HQ
- Northbrook, US
- Founded
- 1931
- Website
- allstate.com
Allstate currently has 12 active AI-related job listings. The majority of these roles, 67%, are focused on agents. Engineering is the dominant function, with 11 roles, and the majority of hiring is in the United States, with 9 positions. Frequent technology tags include agent orchestration, LLM observability, and model serving, suggesting a focus on managing and deploying AI agents. Over the last 30 days, Allstate has added 13 new AI roles, representing a 225% increase from the previous 30-day period.
Currently tracking 7 active AI roles, down 97% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$291k (avg $148k).
Insurance · Insurance
Allstate currently has 11 active AI-related roles in our index. The most common open titles are: AI Digital Product Manager, AI Engineer Lead, Data Scientist - Agentic AI (Hybrid), Director, Engineer (AI, Data & Security Tooling Ecosystem), Lead AI Cloud Platform Engineer. Most positions are in Engineering and Product.
Allstate's active AI hiring is concentrated in: agents (73%), serving infrastructure (18%), application (9%). 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 (9 roles), United Kingdom (1 role).
Job postings at Allstate most frequently reference: agent orchestration, llm observability, model serving, rag, guardrails.
In the past 30 days, Allstate has posted 10 new AI-related roles. That is a +100% change versus the prior 30 days (5 → 10).
| Title | Stage | AI score |
|---|---|---|
| AI Engineer Lead AI Engineer Lead at Allstate Investments responsible for guiding AI/ML initiatives from proof of concept to scalable, production-ready solutions. This role involves hands-on development with LLMs, RAG, vector stores, and agentic frameworks, partnering with product and platform leaders to build AI systems. Key responsibilities include establishing AI engineering fundamentals, participating in experimentation and productization, and iterating on PoCs. | AgentServe | 8 |
| Senior Data Scientist - Agentic AI Senior Data Scientist role focused on building and deploying data-driven agentic AI solutions, including LLM integration, cloud infrastructure, and observability, within an enterprise AI risk and governance context. | Agent | 8 |
| Data Scientist – Agentic AI (Enterprise Risk Management & AI Governance) This role focuses on building and deploying agentic AI solutions within the Enterprise Risk Management and AI Governance team. The primary responsibility involves supporting the end-to-end lifecycle of these solutions, from data exploration to deployment and monitoring, with a focus on AI governance and risk assessment. The role requires experience with Python, prompt engineering for LLMs, and a solid understanding of data science fundamentals for building production-ready systems. | 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 |
| Senior AI Software Engineer This role focuses on backend development with a strong emphasis on integrating and deploying Generative AI models, specifically fine-tuning and optimizing LLMs, and building RAG pipelines. It involves working with technologies like OpenAI, Hugging Face, LangChain, and vector databases within an enterprise context. | Post-trainAgent | 7 |
| Applied Machine Learning Engineer (All Levels) Allstate is seeking Machine Learning Engineers to design, build, and operate ML models across the full ML lifecycle, from data exploration to deployment and monitoring. The role involves working with Python, ML libraries like scikit-learn and XGBoost, and SQL, with opportunities to learn cloud platforms and deep learning techniques. The position emphasizes pair programming and test-driven development, with varying responsibilities based on experience level. | Serve | 7 |
| Director, Engineer (AI, Data & Security Tooling Ecosystem) The Principal Engineer will be the technical authority for the AI, Security Operations Data, and security tooling ecosystem underpinning Cyber Operations. This role defines and enforces engineering standards for shared AI and data capabilities, ensuring reliability, security, observability, and auditability at enterprise scale. It also supports the integration of security-relevant tooling into the ecosystem with consistent patterns and automated controls. | AgentData | 7 |
| Machine Learning Platform Engineer Allstate is seeking a Machine Learning Platform Engineer to design, build, and scale the foundational platforms for enterprise-wide ML development and deployment. This role involves working with cloud-native infrastructure, MLOps tooling, and model lifecycle automation to accelerate AI/ML adoption and enable data scientists to build production-ready models. | Serve | 7 |
| Distinguished Engineer Distinguished Engineer role at Allstate focusing on leveraging AI and GenAI to transform cybersecurity practices and software delivery. The role involves pioneering complex enterprise problems, integrating AI solutions, and mentoring engineers while staying on the cutting edge of technology. | Agent | 7 |
| Enterprise Software Developer Expert This role involves architecting, designing, and implementing AI and machine learning applications, particularly generative AI and RAG patterns, for the insurance industry. The developer will build and manage these applications in production, focusing on automating and enhancing insurance processes, and ensuring AI-based KPIs are met. The role also includes building traditional microservices and establishing CI/CD pipelines. | Agent | 7 |
| Machine Learning Platform - Lead Engineer Lead Engineer for an enterprise ML platform, focusing on architecting, building, and scaling core services like training infrastructure, feature stores, model registries, and inference runtimes. The role involves driving MLOps automation, cloud-native engineering on Azure, AWS, or GCP, and enabling reliable, scalable, and responsible ML adoption across the company. | Serve | 7 |
| Senior AI Cloud Platform Engineer This role focuses on building and operating cloud application development and hosting platforms for GenAI, enabling developers to build, deploy, and operate AI applications. It involves developing self-service tools, managing infrastructure as a service, and integrating various AI components and APIs. | Serve | 7 |
| Product Engineer Senior Consultant I (Full Stack Java/AI) This role focuses on implementing generative and agentic AI technologies to automate and optimize software development workflows, specifically for internally-used digital products supporting enterprise infrastructure and incident management. The position involves full-stack development using Java and JavaScript, with a focus on integrating AI capabilities into the ServiceNow portal and development pipelines. | Agent | 7 |