Managing Engineer – Risk Data & AI

Allstate

. Lead and manage a team delivering data products, AI-enabled applications, intelligent automation capabilities, and enterprise data platforms .

Posted 10/21/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $120,000 - $193,725 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering and AI teams, focusing on the delivery of scalable, reliable, and responsible AI solutions. Proficient in modern engineering practices, including MLOps, CI/CD, and agile methodologies, while ensuring alignment with business and compliance requirements.

Highest-signal resume keywords

Data EngineeringAI EngineeringPython DevelopmentMLOps ImplementationAgile Leadership

ATS Keywords

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Hard Skills

AI Solution DevelopmentData Pipeline EngineeringAPI DevelopmentGenerative AI FrameworksPrompt EngineeringRetrieval-Augmented GenerationDevSecOps PracticesAutomated TestingObservability TechniquesModel Evaluation

Soft Skills

Stakeholder ManagementCross-Team CollaborationMentoring EngineersTechnical GuidanceInfluencing Standards Adoption

Industry Keywords

Data ProductsIntelligent AutomationEnterprise Data PlatformsCompliance RequirementsRisk ManagementSecurity GovernanceTechnology OperationsAI Orchestration FrameworksMulti-Agent SystemsAI Copilots

Tech Stack

Tools & technologies

JavaPython

About the role

Key responsibilities & impact

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
Contribute hands-on 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 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 focused on measurable business outcomes, engineering excellence, and continuous delivery

Requirements

What you’ll need

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
Knowledge of modern engineering practices including DevSecOps, CI/CD pipelines, testing, monitoring, and observability
Experience with Generative AI frameworks, large language models, prompt engineering, and AI orchestration frameworks
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, governance, or technology operations domains
Experience with MLOps, AI model deployment, evaluation, monitoring, and operationalization
Exposure to agentic AI, multi-agent systems, AI copilots, or intelligent workflow automation
Ability to influence adoption of standards, reusable patterns, and scalable engineering solutions across teams
Experience mentoring senior engineers and developing technical leaders
Strong stakeholder management and ability to navigate cross-team dependencies
Commitment to building scalable, reliable, responsible, and low-friction data and AI solutions
Required to submit to a background investigation
Must have a dedicated, private workspace free from distractions, appropriate desk and seating, and reliable internet with minimum speeds of 50 MB download and 5 MB upload
Allstate generally does not sponsor individuals for employment-based visas for this position

Benefits

Comp & perks

Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
Monthly connectivity reimbursement to help offset internet costs for employees eligible to work from home