Senior Risk Data & AI Engineering Lead

Allstate; Illinois City (IL); Remote; USD 120,000 - 194,000; Full time

Job summary

Allstate seeks a hands-on Managing Engineer to lead teams delivering data products, AI-enabled applications, and enterprise data platforms in production. You will set technical direction, own reliability and data quality, and drive modern practices like MLOps and CI/CD while aligning roadmaps with risk and compliance needs.

Ideal candidates have 5+ years in data/AI engineering, 2+ years in engineering leadership, and hands-on Python/Java experience.

Qualifications

• 5+ years of data, analytics, or AI engineering experience with hands-on development in Python and/or Java, and delivery of production-grade AI solutions.
• 2+ years leading engineers with technical guidance across architecture, design, code reviews, engineering standards, and delivery coaching.
• Experience with APIs, backend services, data pipelines, and analytical/reporting systems.
• Experience delivering AI-enabled applications, Generative AI solutions, or intelligent automation capabilities.

Responsibilities

• Lead and manage a team delivering data products, AI-enabled applications, intelligent automation capabilities, and enterprise data platforms.
• Set technical direction across data engineering, AI engineering, application development, deployment, and operational support.
• Act as a hands-on leader contributing to architecture, design decisions, AI solution patterns, and critical-path development.
• Own production outcomes including system reliability, data quality, application performance, model effectiveness, and operational health.
• Partner with Digital Product Managers, data teams, AI teams, and engineering organizations to align roadmaps, priorities, and delivery outcomes.
• Drive modern engineering practices including TDD, CI/CD, observability, MLOps, automated testing, and responsible AI implementation.
• Translate business, risk, and compliance requirements into scalable data, analytics, and AI-powered solutions and reusable engineering patterns.
• Influence adoption of enterprise data standards, AI engineering best practices, and platform-integrated capabilities.
• Lead agile execution with a strong focus on measurable business outcomes, engineering excellence, and continuous delivery.

Skills

Python

Java

Team leadership

APIs

Backend services

CI/CD

MLOps

Generative AI

RAG

Agile

Tools

Vector databases

LLMs

Job description

Allstate seeks a hands-on Managing Engineer to lead teams delivering data products, AI-enabled applications, and enterprise data platforms in production. You will set technical direction, own reliability and data quality, and drive modern practices like MLOps and CI/CD while aligning roadmaps with risk and compliance needs.

Ideal candidates have 5+ years in data/AI engineering, 2+ years in engineering leadership, and hands-on Python/Java experience.