Jobs / United States / Allstate Insurance Company
Lead Consultant/Expert - AI Engineer
Allstate Insurance Company · 🇺🇸 2 Locations
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 roles5 certified filings for “Software Engineer Lead Consultant” (Software Developers) in TX: $139k–$166k, median $166k. 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.
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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 The Software Engineer – Expert or Lead Consultant is a hands-on senior individual contributor who architects, builds, and operates complex digital products across AI, agentic systems, semantic technologies, data engineering, and cloud platforms. The role provides cross-product technical leadership, guides engineering teams, resolves critical technical challenges, and owns production performance and measurable product outcomes. Key Responsibilities • Serve as a recognised expert across business domains and technology stacks, sharing standards and reusable practices across the organisation. • Align cross-product technical strategy with product managers, architects, engineering peers, and key stakeholders. • Shape product architecture and design, balancing scalability, security, resilience, performance, operability, cost, and delivery speed. • Lead discovery, scoping, inception, and iteration planning, translating product outcomes into system designs, technical backlogs, and delivery plans. • Direct complex, business-critical engineering initiatives spanning teams, products, sites, or platforms. • Remain hands-on by building critical components, validating designs, reviewing code, and resolving complex technical issues. • Architect AI-enabled and data-intensive products, including agentic AI, LLM services, semantic technologies, knowledge graphs, and data pipelines. • Establish CI/CD, automated quality gates, secure engineering practices, and reliable release automation. • Own production readiness and operational excellence across reliability, observability, security, performance, incident response, and product KPIs. • Act as the team’s technical anchor, guiding technology choices, resolving conflicts, and addressing cross-team risks and dependencies. • Coach engineers in paired programming, test-driven development, secure coding, and knowledge sharing across the engineering community. Required Skills & Qualifications • 10+ years of software engineering experience, including technical leadership of complex, production-grade products or platforms. • Expertise in software architecture, distributed and cloud-native system design, hands-on development, automated testing, CI/CD, security, observability, and production operations. • Strong programming capability in Python and at least one additional modern language, with the ability to guide implementation and resolve complex issues at code level. • Proven experience architecting and delivering LLM-based and agentic AI systems, including model and agent evaluation, MLOps/LLMOps, AI observability, and responsible AI controls. • Strong knowledge of semantic technologies, including RDF, OWL, enterprise ontologies, knowledge graphs, SPARQL, semantic alignment, and ontology mapping. • Experience with data engineering and analytics patterns, including ETL/ELT, lakehouse architecture, dimensional modelling, metadata-driven pipelines, and enterprise data models. • Experience delivering AI and data solutions on Microsoft Azure and Microsoft Fabric, or comparable enterprise cloud platforms. • Demonstrated ability to lead architecture decisions across teams and products, mentor experienced engineers, establish standards, and influence product, engineering, data, security, and business stakeholders. • Experience owning production outcomes and