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# AI Software Engineer

- **Company:** Allstate Corporation
- **Location:** Chicago, IL, United States
- **Salary:** $140,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Code Review, Data Structures, Python (Programming Language), Machine Learning, Performance Tuning, Software Construction, SQL Databases, Data Logging, Feature Engineering, Deep Learning, Git, AI Platforms, Machine Learning Operations, Software Version Control, Microservices
- **Published:** September 17, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2975765488-2

## About the Role

* Python
 * Machine learning
 * Deep learning
 * NLP or computer vision
 * Data structures & algorithms
 * Model deployment (ML Ops)
 * Cloud platforms (AWS/Azure/GCP)
 * APIs & microservices
 * SQL/No
 * SQL databases
 * Version control (Git)

## Description

Allstate seeks an AI Software Engineer to build and deploy AI-driven solutions that transform underwriting, claims, and customer experiences in finance and insurance. You will design and implement production-grade ML models and services, integrate them with core platforms, and collaborate with data scientists, engineers, and business partners. Responsibilities include feature engineering, model training and evaluation, API and microservice development, performance optimization, monitoring, and documentation. You'll work in a flexible, learning-focused culture with opportunities to innovate and grow your career., * Design, build, and deploy AI/ML models for underwriting, claims, and customer experiences

 * Develop scalable APIs and microservices to integrate AI solutions into core systems
 * Collaborate with data scientists, engineers, and product teams to translate business needs into technical solutions
 * Perform feature engineering, model training, evaluation, and experimentation
 * Optimize model and service performance, reliability, and security in production
 * Implement monitoring, logging, and alerting for AI services and pipelines
 * Contribute to code reviews, testing, and documentation to ensure high-quality delivery
 * Stay current with AI, ML, and software engineering best practices and tools


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