Managing Engineer, Risk Data & AI

Allstate

Confirmed live today High trust
Closes in 3 days Remote

Quick summary

Work type
Remote
Location
IL
Salary
$120,000–$193,725 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today
Closes
Oct 30, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $157k
$103k $279k
below market most similar roles pay here above market

This role pays less than 79% of similar roles. Most pay $165,000–$261,950 — the blue band above. At the midpoint, this role pays about $157k versus about $213k 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 52 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 51 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Managing Engineer, Risk Data & AI

The Managing Engineer - Risk Data & AI joins the Risk Data & AI team to lead engineers in building, delivering, and operating governed data products and AI-enabled capabilities. This role involves setting technical direction for data engineering, application development, and operational support while contributing to architecture and design decisions. The engineer will develop scalable data pipelines, intelligent automation, and responsible AI solutions to support risk and compliance decision-making. Key responsibilities include owning production outcomes like system reliability and model effectiveness while driving modern practices such as TDD, CI/CD, and MLOps. Required skills include experience with Python, Java, APIs, and backend services. The role specifically requires expertise in Generative AI frameworks, large language models, prompt engineering, and building Retrieval-Augmented Generation solutions using vector databases.

What you'll do

  • Lead and manage a team to deliver data products, AI-enabled applications, and intelligent automation capabilities.
  • Set technical direction for data engineering, AI engineering, application development, and operational support.
  • Contribute hands-on to architecture, design decisions, AI solution patterns, and critical-path development.
  • Own production outcomes including system reliability, data quality, application performance, and model effectiveness.
  • Translate business, risk, and compliance requirements into scalable data and AI-powered solutions.
  • Drive modern engineering practices including TDD, CI/CD, observability, MLOps, and responsible AI implementation.
  • Partner with product and data teams to align roadmaps, priorities, and delivery outcomes.
  • Influence the adoption of enterprise data standards and reusable engineering patterns across the organization.

What we're looking for

  • 5+ years of data, analytics, or AI engineering experience with hands-on development in Python and/or Java.
  • 2+ years of experience leading engineers with technical guidance across architecture, design, and delivery coaching.
  • Experience delivering production-grade AI solutions, Generative AI solutions, or intelligent automation capabilities.
  • Experience with APIs, backend services, data pipelines, and analytical or reporting systems.
  • Knowledge of modern engineering practices including DevSecOps, CI/CD pipelines, testing, monitoring, and observability.
  • Experience building Retrieval-Augmented Generation (RAG) solutions using enterprise data and vector databases.
  • Experience working in agile environments delivering data, analytics, or AI solutions.
  • Experience in risk, compliance, security, or technology operations domains (preferred).

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