AI Cloud Platform Engineer

Location: USA - TX (Remote)

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.

Join Allstate's Data & Analytics Technology team and help build the next generation of enterprise AI and data platforms on Microsoft Fabric.

We are seeking an experienced AI Cloud Platform Engineer to help design, build, and operate scalable, resilient, and high-performance data platforms that power enterprise analytics, reporting, artificial intelligence, and advanced data products. This role is responsible for developing and optimizing a Unified Data Analytics Platform using cloud-native Microsoft Fabric technologies.

As an AI Cloud Platform Engineer, you will play a key role in designing and implementing intelligent, automated, and agentic AI-driven solutions that enhance the security, governance, reliability, and operational excellence of the enterprise data platform. You will work closely with analytics engineers, data architects, data scientists, and product teams to deliver innovative capabilities that enable trusted, self-service, and enterprise-scale data consumption.

You'll have the opportunity to influence platform strategy, and deliver solutions that empower data-driven decision-making at scale.

Key Responsibilities

• Participates in iteration planning to ensure the team shares a common understanding of backlog stories, features, and technical chores.
• Helps execute the product strategy with customer needs and outcomes as priorities.
• Works with team members to design scalable systems, applications, and data solutions.
• Participates in daily site, cross-site, and product team standups.
• Uses Agentic AI-assisted development capabilities, including GitHub Copilot and similar coding assistants, to accelerate code generation, testing, documentation, and troubleshooting while following enterprise governance standards.
• Contributes to retrospectives by gathering feedback and identifying actionable improvements for the team and product.
• Supports software products and platforms in production and user environments.
• Shares knowledge and contributes to the continuous development of the team’s collective expertise.
• Applies paired programming, test-driven development (TDD), and modern software engineering practices to deliver high-quality solutions.
• Establishes and maintains Continuous Integration, Continuous Delivery, and Continuous Deployment (CI/CD) pipelines and practices.
• Collaborates on designing and implementing AI-enabled applications, automation workflows, and intelligent developer experiences where appropriate.