Jobs / United States / 84.51 LLC
Lead Software Engineer, AI (P4577)
84.51 LLC · 🇺🇸 Cincinnati, OH; Chicago, IL
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 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 16 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 84.51 LLC paid sponsored hires in similar roles3 certified filings for “Lead AI/ML Engineer” (Software Developers) in IL: $153k–$207k, median $200k. Most were filed at wage level IV (67%) — 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 — 84.51 LLC
The US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 16 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 84.51 LLC →
About the role
84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°! __________________________________________________________ SUMMARY We are seeking a Lead Software Engineer to join our AI Software Development Lifecycle (SDLC) team and build the engineering backbone that scales AI-assisted development across 84.51° and Kroger. As AI workforce tooling matures and adoption grows from pilot teams to dozens of delivery teams, this role provides the systems and patterns that keep pace: deployment automation, standardized templates, and a prompt and skill marketplace that makes best practices discoverable and reusable at scale. This team is charged with re-inventing Software Developer for 84.51º and Kroger with AI at the forefront. This role provides an opportunity to shape how thousands of developers adopt AI within a large enterprise. Success means turning repeatable friction into platform infrastructure: authoring workflows, creating templates, and contributing plugins to internal marketplaces to shorten onramps and increase AI-assisted development velocity. This role spans the spectrum from hands-on automation engineering to cross-team enablement and requires someone who can both build systems and communicate their value across technical and non-technical audiences. This is a platform-focused, hands-on engineering role. You will be expected to both provide technical leadership and produce production-quality code, operating across DevOps, Developer Experience, and AI Enablement domains. RESPONSIBILITIES Design and build deployment automation for AI workforce tooling — including Agentic Harness configurations, MCP server or similar service-level integrations, and related CI/CD pipelines Define and enforce standards for AI tooling configuration, security posture, and observability across teams – often via direct enhancements to the coding harness hook and plugin layers Ensure accurate observability of AI tooling adoption and usage patterns using Datadog, Dynatrace, or related tools Own and evolve the internal prompt and skill marketplace — enabling teams to publish, discover, version, and reuse prompts, skills, and MCP tools across the enterprise Develop workflow playbooks that codify AI-SDLC integration patterns for consistent, repeatable adoption across engineering teams Work directly with delivery teams to embed AI tooling into their development workflows, translating friction and capability gaps into scalable platform improvements Regularly document and present learnings from platform work and team engagements to the broader AI Enablement organization Engage with technology, infrastructure, and product teams as necessary to integrate and extend AI workforce tooling Participate routinely in team on-call rotation and customer support during business hours MINIMUM QUALIFICATIONS, SKILLS, AND EXPERIENCE 4-year degree in a technology related discipline (Computer Science, Computer Engineering, Information Systems, etc.) or equivalent work experience Minimum 5+ years of experience producing high-quality software on Agile development teams (Python preferred) 5+ years of experience with pu