And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

About Law & Regulations Law & Regulations delivers expert legal services that protect Allstate and its customers while ensuring compliance with evolving regulatory and ethical standards. We provide comprehensive support across claims litigation, complex corporate transactions, and enterprise-wide compliance programs, enabling the business to confidently navigate today's legal landscape. By leveraging innovative legal strategies, modern technology, and emerging AI capabilities, we promote seamless collaboration, proactive risk management, intelligent decision-making, and effective problem solving across the organization. We are trusted legal advisors who place the needs of our customers and business partners at the heart of everything we do. As our legal technology ecosystem evolves, we embrace Generative AI, intelligent automation, and data-driven innovation to enhance operational efficiency, knowledge management, and service delivery while maintaining the highest standards of governance, security, privacy, and responsible AI. Our collective success is enabled by collaboration across all areas of responsibility within Allstate and by upholding the legal and ethical foundation that drives business performance. Exceptional Legal Support: Expert counsel and representation that safeguard Allstate's interests and support our customers. Oversight of enterprise-wide privacy, regulatory compliance, and ethics programs. Innovative Legal Operations: Use of agile processes, Generative AI, and modern technologies to enhance operational efficiency, knowledge discovery, and service delivery. The AI Software Engineer designs, develops, deploys, and supports secure AI-powered enterprise applications, intelligent automation solutions, and system integrations that enable critical business operations. Working across backend services, frontend experiences, cloud-native architectures, and AI engineering, this role delivers scalable, reliable solutions to complex business challenges. The ideal candidate combines software engineering expertise with hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native technologies. This role includes ownership of technical solutions, participation in architectural discussions, and collaboration with business, legal, and technology teams to deliver innovative AI-driven products while adhering to governance, compliance, privacy, and security standards.

Design, develop, and maintain backend services and APIs using modern frameworks (e.g., Java Spring Boot, Node.js, or Python FastAPI). · Integrate and deploy Generative AI models (e.g.,

Design and implement solutions leveraging LLMs, Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) architectures. ·

Integrate AI/ML services and APIs into enterprise applications while following engineering and security best practices. · Develop intelligent automation solutions that improve productivity, user experience, and operational efficiency. · Troubleshoot, optimize, and enhance application performance, scalability, and reliability. · Deploy and manage applications on cloud platforms, preferably Microsoft Azure. · Participate in Agile ceremonies, including daily standups, sprint planning, backlog refinement, and retrospectives. · Actively contribute to software development efforts by writing, reviewing, and maintaining high-quality, scalable, and secure code. 3+ years of software development experience using Python and/ or Java Spring Boot. · Experience working with

Generative

AI

APIs and/or

open-source models

. · Experience with LangChain,

LLM orchestration

, or

RAG (Retrieval-Augmented Generation) pipelines. · Familiarity with

prompt engineering

, embedding models, or

vector

databases

. · Knowledge of web and API security frameworks. · Experience with relational databases NoSQL databases (MongoDB, DocumentDB), vector databases, Kafka, caching, and Kubernetes. · Exposure to multi-modal AI systems and agentic AI frameworks. · Exposure to MLOps and model deployment workflows. · Experience with Docker, Kubernetes, and CI/CD pipelines. · Experience with cloud platforms (Azure, AWS or GCP). · Knowledge of frontend frameworks like React or Angular. Cloud Platforms:

Microsoft Azure (Azure OpenAI Service, Azure AI Search, Azure Machine Learning, ADLS), AWS Kubernetes, Docker, AWS EKS, Linux Programming:

Java, Spring Boot, Python, JavaScript/TypeScript, React DevOps & Automation:

Jenkins CI/CD, MLOps, Pipeline Orchestration Data & Databases:

SQL Server, MongoDB, DocumentDB, Vector Databases AI/ML & LLM Technologies:

Azure OpenAI, LangChain, Semantic Kernel, Agentic AI Frameworks, LLMs, Prompt Engineering, RAG Professional Skills:

AI Application Development, Full Stack Development, Problem Solving, Collaboration, Agile Development, Communication Cloud Computing, Computer Science, Continuous Integration Software, LLM Architecture, Software Implementations, Web Development

Compensation Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Note: Internal candidates are only asked to join on video;