Jobs / United States / Qualtrics LLC
AI Security Architect
Qualtrics LLC · 🇺🇸 Seattle, Washington, United States
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 35 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 26 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 Qualtrics LLC paid sponsored hires in similar roles1 certified filing for “Senior Solutions Architect” (Computer Network Architects) in WA: $183k–$183k, median $183k. 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.
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Sponsor Radar — Qualtrics LLC
The US Department of Labor certified 35 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 26 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 Qualtrics LLC →
About the role
At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing. AI Security Architect Why We Have This Role AI systems face threats that traditional security architecture wasn't built for: adversarial manipulation, model theft, data poisoning, prompt injection, and supply-chain risk across the ML pipeline. The AI Security Architect leads the design and implementation of security frameworks that protect our AI systems — building resilience against these threats and earning our customers' trust. How You’ll Find Success • Strategic Visionary: You hold a holistic view of AI/ML threat models, proactively identifying and mitigating emerging risks. You guide security architecture strategy so it aligns with the organization’s risk posture and business goals. • Technical Innovator: Your drive for continuous improvement pushes you to explore and implement cutting-edge AI security practices — adversarial robustness testing, model hardening, secure MLOps — keeping our AI systems resilient against evolving threats. • Collaborative Leader: You build partnerships across security, engineering, and data science, promoting best practices in AI security. Your ability to foster collaboration creates an informed, cohesive environment dedicated to protecting our systems. • Resilient and Adaptive: You thrive in a fast-paced environment, managing complex projects while guiding cross-functional teams through shifts in the threat landscape or technology. Your problem- solving skills are essential to navigating the complexities of AI security governance. How You’ll Grow • Shape Industry Standards: Participate in industry conferences, thought leadership forums, and professional organizations to influence the future of AI security practices. • Executive Presence: Increase your visibility and involvement in executive-level discussions, refining how you communicate strategic security insights. • Expand Your Leadership Toolkit: As a thought leader in AI security architecture, mentor and coach emerging talent, growing the security expertise across the organization. • Complex Problem-Solving: Tackle significant AI security challenges that sharpen your analytical,critical thinking, and strategic planning abilities. Things You’ll Do • Drive Innovation in AI Security: Lead research, evaluation, and implementation of next-generation security technologies and methodologies — adversarial defense, model security, secure MLOps pipelines — that support our AI solutions. • Conduct Security Reviews: Perform security reviews of AI products and proposed designs, including architectures built on Model Context Protocol (MCP) and agentic AI systems, identifying risks such as tool-use abuse, unauthorized action-taking, and insecure agent-to-agent or agent to-tool communication. • D