Managing Engineer - Risk Data & AI (Remote, US)

Allstate Insurance Co.; Illinois; Hybrid; USD 120,000 - 194,000; Full time

Benefits offered by this job

Connectivity reimbursement

Home office setup

Job summary

Allstate Insurance Co. is seeking a Managing Engineer to lead teams that build, deliver, and operate data and AI products in production. You will guide architecture, drive AI solution patterns, and own system reliability, data quality, and operational health.

You will mentor engineers, collaborate with product managers and data teams, and push for modern engineering practices, including MLOps and automated testing, in a fast‑paced, risk‑aware environment.

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.
• 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.

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.

Skills

Data engineering

AI engineering

Leadership

CI/CD

Observability

MLOps

Agile

Tools

Python

Java

APIs

Vector databases

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Risk Data & AI designs, builds, and operates governed data products, analytics solutions, and AI-enabled capabilities that support risk and compliance decision‑making.

The team applies modern data, software, and AI engineering practices to deliver scalable data pipelines, trusted analytical products, intelligent automation, and responsible AI solutions that enable TORC to identify emerging risks, generate actionable insights, and make timely, evidence‑based decisions.

The Managing Engineer is a hands‑on engineering leader responsible for leading teams that build, deliver, and operate these data and AI products in production. This role blends strong technical leadership, people leadership, and delivery ownership, ensuring solutions are scalable, reliable, secure, and responsibly implemented, with measurable business and engineering impact.

Key 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.

Required Skills

• 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.

Desirable Skills

• 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 that improve organizational outcomes.

Compensation offered for this role is 120,000.00 - 193,725.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment‑based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have Valid Photo Identification available at the start of your interview. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

At Allstate, we work hard to help people live a good life every day. Allstaters are dedicated to serving clients, customers, and communities, which allows employees to find meaning and value in their work. Allstate offers an environment that fosters innovative thinking where you’ll be able to explore your ideas and feel proud of the work you do. Allstate helps protect nearly 16 million households with auto, home, life, and retirement products. We want every professional connected to Allstate to be committed to giving our customers the best and that means finding the best talent. We want you to be our next great addition.