Lead AI Cloud Platform Engineer

Allstate Insurance Company

$110K — $181K *
US-AnywhereRemote in Illinois, US
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in cloud platforms, specifically Azure, AWS, and GCP.
  • Strong knowledge of Prompt Engineering and AI open-source ecosystem.
  • Expertise with Azure Application and AI services; AWS Bedrock and Vertex AI preferred.
  • Hands-on experience in Terraform development and maintenance.
  • Familiarity with large language model (LLM) and Foundational model APIs.

Responsibilities

  • Provide expertise in Generative AI on Azure and AWS platforms for client interactions.
  • Recommend integration strategies and enterprise architectures for cloud solutions.
  • Advise clients on incorporating AI into their cloud strategies detailing migration and architectural considerations.
  • Solve complex problems with a strong understanding of product and business priorities.
  • Offer innovative technical solutions across engineering and product teams.
  • Collaborate with consumers and partners to understand and overcome technical challenges.
  • Promote engineering best practices, including Terraform and automation setup.

Benefits

  • Comprehensive technology setup, including laptop, monitors, and peripherals.
  • Monthly connectivity reimbursement for work-from-home employees.
  • Flexible work-from-home arrangements, requiring a dedicated workspace and reliable internet.
Full Job Description
Job Description
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.

Key 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.


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


Skills:
  • Cloud Platforms: Azure, AWS, Google
  • Generative AI
  • Agentic AI
  • Programming Languages: Python
  • Infrastructure as Code (IaC): Terraform (including Tofu/Env0 tools)


#LI-TE1

Skills
Application Infrastructure, AWS Cloud Computing, Cloud Platform, Cloud Strategies, Enterprise Architecture (EA), Infrastructure As Code (IaC), Microsoft Azure, Terraform (Software)

Compensation
Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

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