Software Engineer (AI/GenAI Platforms)

Allstate

Quick summary

Work type: On-site
Location: Charlotte Railyard · Chicago Suburban · Chicago Merch Mart · Dallas Fort Worth Pod
Salary: $85,000–$145,075 / yr
Posted: 73 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k

This role $115k

$67k most similar roles pay here $254k

This role pays less than 95% of similar roles. Most pay $152,837–$235,750 — the shaded band above. At the midpoint, this role pays about $115k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 28 open roles on FindRole.

Listed pay typically runs $99,050–$170,500 across 28 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Software Engineer (AI/GenAI Platforms)

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As a Senior AI Engineer joining our cutting-edge team, you will design and build advanced AI-driven systems that integrate large-scale data engineering with machine learning and generative AI to transform petabyte-scale unstructured enterprise data into actionable intelligence. Your day-to-day responsibilities include developing production-grade AI/ML systems using Python and Java, fine-tuning large language models, building retrieval augmented generation applications, and implementing vector search and embeddings for semantic analysis. You will work within a complex ecosystem of cloud services like AWS, Kafka for streaming data, and MongoDB Atlas for data storage, while leveraging frameworks such as LangChain and Hugging Face to create autonomous AI workflows that drive real business decisions.

Skills

Python AWS Java LangChain Hugging Face OpenAI Amazon SageMaker MongoDB Atlas Amazon DocumentDB Apache Kafka Datadog AWS CloudWatch CI/CD LLMs RAG Vector Search & Embeddings Multimodal AI Prompt Engineering Semantic Models

What you'll do

Design and build AI-driven systems combining large-scale data engineering, machine learning, and generative AI.
Develop production-grade AI/ML systems using Python for backend services and enterprise integrations.
Implement vector search and embeddings to enable semantic search and similarity matching in unstructured data.
Integrate multimodal AI capabilities to process text, voice, images, and video within the Unstructured Data Platform.
Utilize LangChain, LlamaIndex, Semantic Kernel frameworks for building context-aware AI applications.
Monitor and troubleshoot AI and data pipelines using observability tools like Datadog and AWS CloudWatch.

What we're looking for

Proven experience in building and operating production-grade AI/ML systems.
Expertise in Python and Java for AI/ML development and enterprise integrations.
Hands-on experience with large language models (LLMs) and fine-tuning.
Knowledge of data pipelines, distributed data processing, and vector search/embeddings.
Experience with cloud services like AWS, including SageMaker and Bedrock.
Familiarity with observability tools such as Datadog and AWS CloudWatch.
Proficiency in working with large-scale enterprise data environments and architectures.

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