Lead AI Cloud Platform Engineer

Allstate•McCullom Lake, IL

About The Position

As 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.

Requirements

7 or more years of experience (Preferred)
Knowledge of Prompt Engineering and AI open-source ecosystem.
Experience and skills with Azure Application and AI services.
Experience in Terraform development.
Cloud Platforms: Azure, AWS, Google
Generative AI
Agentic AI
Programming Languages: Python
Infrastructure as Code (IaC): Terraform (including Tofu/Env0 tools)

Nice To Haves

Experience with AWS bedrock(Preferred)
Experience with Vertex AI (Preferred)
Knowledge of consuming large language model (LLM) and Foundational model APIs.

Responsibilities

Provide 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 a complete solution using best practices on Azure/AWS/GCP AI.
Be a trusted advisor to our consumers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture.
Leverage a strong understanding of product, design and business priorities to solve high impact, highly complex problems.
Provide thought leadership, innovative ideas, and deliver cutting edge technical solutions across engineering/product teams
Engages in conversation with consumers and collaborates with account and partner teams to drive and qualify new opportunities, understand key technical objections, and resolve technical blockers.
Champions the engineering practices and helping teams define and setup frameworks using Terraform and automation
Maintain and enhance existing Terraform codebase.
Coaches junior team members.
Ability to present ideas and solutions.