Lead AI Cloud Platform Engineer

Allstate

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $110,000–$181,025 / yr
Posted: 88 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k

This role $146k

$95k most similar roles pay here $251k

This role pays less than 80% of similar roles. Most pay $159,375–$235,750 — the shaded band above. At the midpoint, this role pays about $146k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 28 open roles on FindRole.

Listed pay typically runs $99,050–$170,500 across 28 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Lead AI Cloud Platform Engineer

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As a Lead AI Cloud Platform Engineer at Allstate, you will join the AI solutions team as a senior-level full-stack engineer responsible for developing, implementing, and operating cloud platforms that support strategic product teams in defining their AI strategy. Your day-to-day involves providing technical expertise on GenAI platforms like Azure AI Services, AWS Bedrock, and Vertex AI, recommending integration strategies, and delivering cutting-edge solutions to enhance consumer adoption. You will also maintain and enhance Terraform codebases, coach junior team members, and advocate for engineering practices such as paired programming and test-driven development. This role requires deep knowledge of cloud platforms, generative AI, agentic AI, and proficiency in Python and infrastructure-as-code tools like Terraform.

Skills

AWS Azure Google Vertex AI Terraform Python GCP OpenAI Agentic AI CI/CD Infrastructure as Code Kubernetes Docker Prometheus PostgreSQL

What you'll do

Provide technical expertise in GenAI cloud platforms to support clients and enhance their AI strategies.
Recommend integration strategies and enterprise architectures for successful implementation of AI solutions on Azure/AWS/GCP.
Solve complex problems by leveraging product, design, and business priorities.
Maintain and enhance existing Terraform codebase for infrastructure management.
Champion engineering practices and help teams define frameworks using Terraform and automation tools.
Deliver technical briefings, demos, and proof-of-concept projects to drive consumer adoption of AI services.

What we're looking for

At least 7 years of experience in cloud platforms (Azure, AWS, GCP).
Expertise in generative AI, agentic AI, and prompt engineering.
Proficiency with Azure Application and AI services, AWS Bedrock, Vertex AI.
Strong knowledge of consuming large language model APIs.
Experience in Terraform development for infrastructure as code.

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