Cloud Product Engineer (Azure/AI)

$104,000 - $187,625/Yr

Allstate - Illinois City, IL

Full-time

Onsite - Illinois City, IL

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 developing, implementing, and operating Allstate's cloud platforms, with a specialization in Azure AI Services. The engineer will engage with strategic consumers to establish AI strategies, prioritize use cases, and deliver architectural designs and proof-of-concept work. The position requires a strong technical background in AI and cloud technologies, along with the ability to influence and advocate for technology solutions within the organization.

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 across the company.

Requirements

• 4-year Bachelor's Degree (Preferred)
• 7 or more years of experience (Preferred)
• 3+ years of AI experience (Machine Learning, AI Services)
• 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 Machine Learning Studio
• Experience with CI/CD processes
• Knowledge of Microsoft Azure Security and Cost Management

Benefits

• Competitive salary
• Flexible work environment
• Opportunities for professional development
• Diversity and inclusion initiatives