Cloud Product Engineer (Azure/AI)

$104,000 - $187,625/Yr

Allstate

posted 7 days ago

Full-time - Mid Level
Insurance Carriers and Related Activities

About the position

The Cloud Product Engineer at Allstate is a full stack engineer responsible for architecting and building cloud application development and hosting platforms. This role focuses on owning, developing, implementing, and operating Allstate's Cloud platforms, with a specialization in Azure AI Services and Azure Open AI. The engineer will engage with strategic consumers to establish AI strategies, prioritize use cases, and deliver architectural designs and proof-of-concept work, while advocating for technology solutions and engineering practices.

Responsibilities

  • Own, develop, implement, and operate Allstate's Cloud platforms.
  • Provide in-depth AI expertise to support technical relationships with consumers.
  • Recommend integration strategies and enterprise architectures for Azure AI solutions.
  • Demonstrate Azure AI capabilities through POCs and feature demonstrations.
  • Build repeatable assets to enable other consumers and internal teams.
  • Engage with consumers to drive new opportunities and resolve technical blockers.
  • Represent developers in the product design and lifecycle process.
  • Champion engineering practices and help teams define frameworks using Terraform.
  • Coach junior team members.
  • Maintain high availability designs for various platforms.

Requirements

  • 4-year Bachelor's Degree (Preferred)
  • 7 or more years of experience (Preferred)
  • 3+ years of AI experience (Machine Learning, AI Services, Search)
  • Technical expertise in AI/Cognitive Services
  • Knowledge of Prompt Engineering and AI open-source ecosystem
  • Experience with Azure Application and AI services
  • Knowledge of consuming large language model (LLM) APIs
  • At least 3 years of experience in Terraform development.

Nice-to-haves

  • Experience with Ansible on Microsoft Azure
  • Knowledge of Azure Active Directory (AD)
  • Familiarity with Azure Automation and Azure Machine Learning Studio
  • Experience with CI/CD and Microsoft Azure Administration
  • Knowledge of Microsoft Azure DevOps Pipelines and PaaS.

Benefits

  • Flexible work environment
  • Opportunities for professional development
  • Inclusivity and diversity awards recognition
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