AI Engineer Lead

Allstate

Remote

Quick summary

Work type
Remote
Location
Chicago, IL
Salary
$151,700–$221,675 / yr
Posted
24 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $187k
$139k most similar roles pay here $267k

This role pays less than 66% of similar roles. Most pay $171,121–$246,150 — the shaded band above. At the midpoint, this role pays about $187k versus about $209k 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 · AI Engineer Lead

At Allstate Investments, the AI Developer will join a dynamic team within the Investments Technology group to support an $80bn portfolio by developing scalable AI solutions. This hands-on role involves collaborating with engineers and product leaders to create and validate proof-of-concept models that evolve into production-ready systems. Key responsibilities include establishing engineering standards, participating in project development, and iterating on PoCs based on stakeholder feedback. The ideal candidate has 5+ years of Python experience, a deep understanding of AI fundamentals, and expertise with LLMs, RAG, vector stores, and agentic frameworks. Proficiency in data-driven decision-making, Git version control, and cloud platforms like Azure is essential, alongside strong communication skills to bridge technical and business teams.

What you'll do

  • Establish and promote strong AI engineering fundamentals and code quality standards.
  • Design and develop AI/ML solutions from proof of concept to production-ready systems.
  • Collaborate with product stakeholders to iterate quickly on PoCs and refine solutions.
  • Implement RAG architecture, including ingestion pipelines and chunking strategies.
  • Develop vector database integration for similarity search and metadata filtering.
  • Guide the adoption of LLMs, agentic frameworks, and other GenAI technologies.

What we're looking for

  • Minimum 5 years of Python development experience
  • At least 3 years of AI project experience with productization focus
  • Deep understanding of machine learning fundamentals for solution implementation
  • Experience with GenAI technologies like RAG, vector stores, and agentic frameworks
  • Strong data-driven decision-making skills combining analytical thinking and business judgment
  • Excellent communication skills for both technical and non-technical stakeholders

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