Jobs / United States / Allstate Insurance Company
AI Cloud Platform Engineer
Allstate Insurance Company · 🇺🇸 USA - TX (Remote) · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 25 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Allstate Insurance Company paid sponsored hires in similar roles12 certified filings for “Software Engineer Manager” (Software Developers) in CA: $145k–$174k, median $159k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Allstate Insurance Company
The US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 25 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Allstate Insurance Company →
About the role
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. Job Description 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. Required Qualifications • 3+ years of experience as a Data Engineer , building and supporting enterprise-scale data platforms and pipelines. • Advanced proficiency in Python , SQL , and modern data engineering practices. • Strong hands-on experience with GitHub , Key vault , and REST API (integration 7 automation). • Experience with Microsoft Fabric and Azure platform , or comparable cloud analytics platforms. Experience with Terraform/Jenkins , or comparable CI/CD. • Experience implementing CI/CD pipelines, source control, Infrastructure as Code (IaC), and automated testing practices. • Familiarity with AI-powered engineering tools and Agentic AI-assisted software development practices . • Strong understanding of distributed computing, performance tuning, scalability, fault tolerance, and data reliability. • Excellent problem-solving, col