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Software Engineer; AI​/GenAI Platforms

Job in Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: Allstate Northern Ireland Limited
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85000 - 145075 USD Yearly USD 85000.00 145075.00 YEAR
Job Description & How to Apply Below
Software Engineer (AI/GenAI Platforms) page is loaded## Software Engineer (AI/GenAI Platforms) remote type:
Hybrid locations:
Charlotte Railyard:
Chicago Suburban:
Chicago Merch Mart:
Dallas Fort Worth Podtime type:
Full time posted on:
Posted Yesterday job requisition :
R28134

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)
** Data stores
* ** Mongo

DB Atlas
* Amazon Document DB
* 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 Cloud Watch
* Work on petabyte-scale unstructured data challenges
* Build with the latest GenAI and Agentic AI technologies
* Transform unstructured data into enterprise intelligence
* Join a team shaping the future of AI-powered decision making#LI-JK1
** 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. 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…
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