Jobs / United States / Hewlett Packard Enterprise Company
Sr. AI Architect - Enterprise (US)
Hewlett Packard Enterprise Company · 🇺🇸 5 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 486 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 167 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 Hewlett Packard Enterprise Company paid sponsored hires in similar roles3 certified filings for “Senior AI and Machine Learning Engineer” (Data Scientists) in CA: $124k–$228k, median $174k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% 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 — Hewlett Packard Enterprise Company
The US Department of Labor certified 486 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 167 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 Hewlett Packard Enterprise Company →
About the role
Sr. AI Architect - Enterprise (US) This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: HPE is seeking a senior AI Architect to work with our customers within our Advisory and Professional Services organization. The AI Architect will be responsible for leading the architecture strategy and governance for AI-enabled solutions. This role will serve as the bridge between our customers’ strategic objectives and our technical vision that translate complex needs into scalable AI solutions that adhere to national, regulatory, and organizational sovereignty standards. The ideal candidate combines deep technical expertise in AI/ML systems architecture with exceptional customer-facing skills and the ability to guide senior stakeholders through critical decisions. This role will define reference architectures, drive solution design, and ensure that our sovereign AI offerings meet the highest standards of data privacy, security, performance, and operational resilience. LOCATION : This is a teleworker position within the US that will require regular travel. RESPONSIBILITIES: Architecture leadership • Lead end-to-end architecture design for sovereign AI deployments, ensuring compliance with data residency, privacy, and regulatory requirements. • Develop scalable, secure, and robust AI/ML reference architectures, including model lifecycle management, data pipelines, inference infrastructure, and governance frameworks. • Evaluate and select technologies, cloud/on-prem infrastructure, and tooling aligned to sovereign and risk-management constraints. • Provide architectural oversight across implementation teams, ensuring alignment with enterprise standards and risk mitigation strategies. Risk management and governance • Identify, assess, and manage risks across the AI solution lifecycle • Develop and implement governance frameworks that embed responsible AI principles, auditability, and continuous risk monitoring. • Partner with security, compliance, and legal teams to ensure adherence to sovereignty mandates and enterprise risk frameworks. • Embed security-by-design and risk-by-design in architecture, deployment, and operations. Technical execution • Create architectural documentation, diagrams, and governance frameworks for AI model development, deployment, and monitoring. • Drive security-by-design principles into all AI components, including encryption, access control, auditing, and safe model operation. • Partner with engineering, security, compliance, and product teams to ensure architectural integrity throughout execution. • Lead technical reviews and guide the resolution of architectural and integration issues. Customer engagement and stakeholder management • Serve as a trusted advisor to customers—C-suite, technical leaders, and regulatory stakeholders, helping them shape their sovereign AI strategy, facilitating design workshops, discovery sessions and technical deep-dives. • Translate complex customer requirements into actionable archi