At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. 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.

Job Description

Our Mission
We are on a mission to unlock business value from petabyte-scale unstructured enterprise data by building cutting-edge AI, GenAI, and Agentic AI capabilities on top of our Unstructured Data Platform.

In this role, you’ll help transform massive volumes of documents, voice recordings, images, and video into actionable intelligence, powerful insights, and autonomous AI systems that drive real business decisions.
You will design and build AI-driven systems that combine large-scale data engineering, machine learning, and generative AI to power next‑generation enterprise capabilities.

What You’ll Bring

Core Engineering Skills

• Python (required) for AI/ML development
• Java, with hands-on experience building backend services and enterprise integrations
• Ability to work across both Python and Java codebases, integrating AI/ML components into Java-based enterprise systems
• Proven experience building and operating production-grade AI/ML systems
• Strong understanding of data pipelines and distributed data processing

AI / GenAI Expertise

Hands-on experience in one or more of the following areas:

• Large Language Models (LLMs): Working with foundation models and fine-tuning
• Retrieval Augmented Generation (RAG): Building context-aware AI applications
• Vector Search & Embeddings: Semantic search and similarity matching
• Multimodal AI: Processing text, voice, images, and video
• AI Agents / Agent Frameworks: Building autonomous AI workflows
• Prompt Engineering: LLM orchestration and optimization
• Semantic Models: Building and leveraging semantic data models

Framework Experience

• Lang Chain, Llama Index, Semantic Kernel
• Hugging Face
• OpenAI, AWS Bedrock, Azure OpenAI

Data & Platform Technologies

Experience working in large-scale enterprise data environments, including:

Architecture

• Data lakes and lakehouse architectures

Analytics

• Microsoft Fabric, Azure Fabric, or similar analytics platforms

Streaming

• Kafka and event-driven architectures

Cloud Services

• Amazon Web Services (AWS)

Datastores

• MongoDB Atlas
• Amazon DocumentDB
• Vector databases (nice to have)

ML / AI Platforms

• Amazon Sage Maker or similar ML platforms
• AWS Bedrock for foundation model access and deployment
• Model training, evaluation, and deployment
• Experience with MLOps workflows

Observability & Reliability

• Monitoring and troubleshooting AI and data pipelines
• Experience with observability tools such as Datadog and AWS CloudWatch

Why Join Us?

• Work on petabyte-scale unstructured data challenges
• Build with the latest Gen

AI and Agentic AI technologies:

• Transform unstructured data into enterprise intelligence
• Join a team shaping the future of AI-powered decision making

Skills

Amazon Sage Maker, Amazon Web Services (AWS), Apache Kafka, Communication, Continuous Integration Software, Data Analysis, Large Language Model (LLM) Fine-Tuning, Machine Learning (ML), Python (Programming Language), Semantics, Software Development, Vector Databases

Compensation

Compensation offered for this role is 85,000.00 - 145,075.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

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.

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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.