[Hiring] Risk, Data & AI Software Engineer @Allstate

Role Description

Risk Data & AI designs, builds, and operates governed data products, analytics solutions, and AI-enabled capabilities that support risk and compliance decision-making. The team applies modern data, software, and AI engineering practices to deliver scalable data pipelines, trusted analytical products, intelligent automation, and responsible AI solutions that enable TORC to identify emerging risks, generate actionable insights, and make timely, evidence-based decisions.

We are looking for a Software Engineer with a passion for AI product development to join the team. Reporting to the Managing Engineer, Risk Data & AI, you will design, build, and run full-stack, AI-powered products that help TORC turn risk data into insight and action. This is a hands-on role where you will take ideas from concept to production, integrating Generative AI into enterprise-grade solutions that are scalable, secure, and responsibly implemented.

Key Responsibilities

• Design and develop full-stack applications using Java Spring Boot/Python, and modern front-end frameworks (React, Angular, or Vue.js).
• Integrate Generative AI models and APIs into enterprise-grade solutions.
• Build and maintain APIs, microservices, and data pipelines to support AI-driven features.
• Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
• Collaborate with cross-functional teams, including Digital Product Managers and risk stakeholders, to deliver high-quality, AI-powered software solutions.

Qualifications

• 3+ years of full-stack development experience with Java Spring Boot and/or Python.
• Proven experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain) and APIs.
• Strong understanding of CI/CD pipelines, DevOps practices, and infrastructure as code.
• Hands-on experience with Microsoft Azure cloud services.
• Proficiency in front-end development using JavaScript, TypeScript, and modern frameworks.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience in RAG technology.
• Excellent problem-solving skills and a passion for innovation.

Desirable Skills

• Experience with vector databases, prompt engineering and fine-tuning LLMs.
• Exposure to multi-modal AI systems and agentic AI frameworks.
• Background in MLOps or AI model deployment on cloud platforms.

Compensation

Compensation offered for this role is 90,700.00 - 153,925.00 annually and is based on experience and qualifications.

Additional Information

• The candidate(s) offered this position will be required to submit to a background investigation.
• 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.
• For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
• For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
• To view the “EEO Know Your Rights” poster click “here”.
• To view the FMLA poster, click “here”.
• Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• 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.
• Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
• To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual.
• Please also have a Valid Photo Identification available at the start of your interview.
• If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
• Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.