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Lead AI Cloud Platform Engineer

Allstate · Remoto Brasil · Flexible / Remote

Publicada em 13/05/2026

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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 DescriptionAs a Lead AI Cloud Platform Engineer, you'll act as a full stack engineer who builds and operates the cloud application development and hosting platforms for Allstate. You'll have the primary accountability of owning, developing, implementing and operating Allstate's Cloud platforms. As a Technology Specialist with expertise in GenAI Cloud Platforms, you will serve as a technical solutions expert within our AI solutions team, collaborating with strategic product teams to define their AI strategy and prioritize use cases that deliver business value through Google's Vertex AI, AWS and Azure AI Services. You will split time evenly in executing operational tasks to maintain the platform and servicing customer requests; and engineering new solutions to automate the build and operational tasks. They will serve as pair anchors being advocates of paired programming, test driven development, infrastructure engineering, and continuous delivery on the team.Key ResponsibilitiesProvide in-depth expertise in GenAI on Azure and AWS cloud platforms to support and enhance technical relationships with clients. This includes delivering product and solution briefings, creating demos, executing proof-of-concept projects, and collaborating directly with product management to prioritize solutions that drive consumer adoption of Azure AI Foundry, Azure AI Services, OpenAI, Agentic AI, Vertex AI, AWS Bedrock, AWS Sagemaker.Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement
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