Jobs / United States / Rubrik INC
Principal AI Architect
Rubrik INC · 🇺🇸 Palo Alto, CA
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 96 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 23 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 Rubrik INC paid sponsored hires in similar roles1 certified filing for “Sr. GSI Global Solution Architect” (Software Developers) in TX: $170k–$170k, median $170k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Rubrik INC
The US Department of Labor certified 96 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 23 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 Rubrik INC →
About the role
About the role: At Rubrik IT, we are transforming how the enterprise thinks and operates — building a "thinking enterprise" where intelligent, agentic systems reason across our data, tools, and workflows to drive speed, quality, and measurable business impact. As an AI Architect, you will be a pivotal technical leader driving AI Native solutions that make this vision real. You will operate where AI innovation, top-tier engineering, and business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact. This role is designed for systems-thinkers and orchestrators with an AI-first mindset — leaders who move fluidly between hands-on building AI solutions, and who know how to harness model APIs, data sources, and workflow layers to build practical technology that serves the business. What you'll do: • Lead applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs. • Contribute to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security. • Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use cases such as knowledge assistants, workflow automation, and decision support. • Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across teams. • Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment. • Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model APIs, and automation layers. • Leverage AI-assisted development to accelerate implementation, bringing a strong 'editor' mindset to ruthlessly audit, review, and secure AI-generated code against our standards for reliability, security, observability, and documentation. • Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring. • Develop and maintain evaluation approaches for output quality, retrieval accuracy, latency, and failure modes, and use findings to improve system performance over time. • Help identify where human review, controls, and escalation paths are required to support responsible deployment of AI-enabled systems. • Apply sound engineering judgment to balance speed, usability, risk, and maintainability in production and near-production environments. • Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions. • Lead rigorous problem formulation by partnering with R&D,, Security, Data, HR, Finance, and business stakeholders — ensuring we apply AI to the right problems before translating needs into scalable technical solutions. • Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation. • Contribute reusable components, playbooks, and patterns that reduce duplicate effort and improve speed across the engineering environment. • Technical architecture and AI implementations directly to measurable business outcomes, recognizing that technology serves the business. • Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development. Experience you'll need: • 10+ years of core