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Software Engineer; AI​/GenAI Platforms

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Allstate Insurance
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85000 USD Yearly USD 85000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (AI/GenAI Platforms) -

Software Engineer (AI/GenAI Platforms)

United States, North Carolina, Charlotte

About the Role

Allstate’s Digital AI team is building cutting‑edge GenAI capabilities on our Unstructured Data Platform to unlock value from petabyte‑scale unstructured enterprise data. As a Software Engineer, you will 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.

Responsibilities
  • Design, develop, and maintain large‑scale data engineering, machine learning, and generative AI systems.
  • Build end‑to‑end pipelines that ingest, process, and serve data for AI/ML workloads.
  • Integrate AI/ML components into Java‑based enterprise services and ensure production reliability.
  • Collaborate with cross‑functional teams to prototype and launch new GenAI features.
  • Monitor and troubleshoot AI and data pipelines using observability tools such as Datadog and AWS Cloud Watch.
  • Apply best practices in prompt engineering, LLM fine‑tuning, and retrieval‑augmented generation.
Qualifications
  • Python (required) for AI/ML development.
  • Java experience building backend services and enterprise integrations.
  • Hands‑on experience building and operating production‑grade AI/ML systems.
  • Strong understanding of data pipelines, distributed processing, and event‑driven architectures.
  • Experience with large language models, RAG, vector search, multimodal AI, AI agents, and semantic models.
  • Knowledge of prompt engineering and LLM orchestration.
Technical Stack
  • Frameworks: Lang Chain, Llama Index, Semantic Kernel, Hugging Face.
  • Cloud: Amazon Web Services (AWS), OpenAI, AWS Bedrock, Azure OpenAI.
  • Data & Platform: Data lakes, lakehouse architectures, Kafka, event‑driven systems, MongoDB Atlas, Amazon Document DB, vector databases.
  • Analytics: Microsoft Fabric, Azure Fabric, similar platforms.
  • ML/AI Platforms: Amazon Sage Maker, AWS Bedrock, MLOps tooling.
Compensation and Benefits
  • Competitive salary range: $85,000.00 – $ annually, based on experience and qualifications.
  • Background investigation required for all candidates.
  • Allstate does not sponsor employment‑based visas for this position.
EEO & Legal Statements
  • Allstate generally does not sponsor individuals for employment‑based visas for this position.
  • Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, Allstate prohibits discrimination against veterans‑of‑the‑armed‑forces of the United States, Indiana National Guard, or reserve components.
  • Policy:
    The Company employs the best qualified individuals, and discrimination on the basis of 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, religion, sex, or sexual orientation is prohibited across all employment practices.
  • For jobs in San Francisco, see the San Francisco Fair Chance Ordinance information.
  • For jobs in Los Angeles, see the Los Angeles Fair Chance Initiative for Hiring Ordinance information.
  • To view the “EEO Know Your Rights” poster, consult the relevant poster.
  • To view the FMLA poster, consult the relevant poster.
Join Our Team

Joining our team is not just a job—it’s an opportunity to push the boundaries of AI‑powered decision making and support causes that matter. You’ll work on petabyte‑scale unstructured data challenges, build the latest GenAI and Agentic AI technologies, and help shape the future of protection.

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