Jobs / United States / Nvidia Corporation
Senior Solutions Architect, Agentic AI — Safety and Security
Nvidia Corporation · 🇺🇸 3 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 2,374 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 394 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 Nvidia Corporation paid sponsored hires in similar roles62 certified filings for “Solutions Architect” (Sales Engineers) in CA: $139k–$199k, median $169k. Most were filed at wage level IV (51%) — 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).
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Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 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 394 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 Nvidia Corporation →
About the role
We are looking for a Senior Solutions Architect to help leading Enterprise ISVs design, build, and deploy secure agentic AI systems on NVIDIA’s accelerated computing platform. In this role, we will partner with strategic software companies across cybersecurity, AI safety, infrastructure protection, and confidential computing. Together, we will help them build trustworthy AI products that meet enterprise expectations for security, privacy, safety, reliability, and performance. This work includes multi-agent orchestration, guardrails, agent runtime security, RAG, tool use, model customization, policy enforcement, OpenShell-like execution environments, and confidential AI deployments on protected infrastructure. What you'll be doing: • Lead strategic agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale. • Build enterprise-grade agentic AI systems with multi-agent workflows, tool-using agents, RAG, planning, memory, evaluation, guardrails, policy enforcement, and failure containment. • Partner with security ISVs to integrate NVIDIA models into detection and response products, including threat triage, investigation agents, remediation workflows, natural-language-to-query, analyst automation, PII handling, and content safety. • Architect secure and confidential AI deployments using NVIDIA Confidential Computing, GPU attestation, KMS integration, protected infrastructure, air-gapped patterns, and partner key-management workflows. • Create PoCs, benchmarks, reference architectures, reusable blueprints, field guidance, and product feedback that help NVIDIA and our partners move secure AI systems into production. What we need to see: • BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience • 8+ years in engineering, solutions architecture, applied ML, enterprise software, or technical deployment. • Experience leading AI, ML, distributed systems, or enterprise software projects from prototype to production. • Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production or production-like environments. • Depth in one or more areas such as AI/LLM security, enterprise cybersecurity, trust and safety, confidential computing, secure AI infrastructure, model customization, post-training, or model evaluation. • Strong Python and Linux skills, experience with PyTorch, TensorFlow, or similar frameworks, and working knowledge of risks such as prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and model or skill supply-chain risk. Ways to stand out from the crowd: • Background with NVIDIA AI software such as NIM, NeMo Framework, NeMo Retriever, NeMo Guardrails, NeMo Agent Toolkit, Dynamo, Nemotron, Nemotron Safety models, Triton, TensorRT-LLM, or NIM Operator. • Experience with LLM red-teaming, AI safety evaluation, adversarial testing, prompt-injection defense, policy enforcement, Garak, NeMo Auditor, or release-gating evaluation benchmarks. • Background with OpenShell, agent harnesses, sandboxed execution, secure tool invocation, agent runtime security, AI/software supply-chain security, model or skill signing, provenance, attestation, VEX, or secure model registries. • Experience building post-training pipelines or GPU-accelerated safety and security workflows, including reasoning, tool use, domain adaptation, safety alignment, PII/NER detection, content-safety models, TensorRT optimization, quantization, workshops, architecture reviews, whitepapers, or reference architectures. • Experience with confidential computing, including GPU confidential computing, remote attestation, Confidential Containers, enterprise KMS, air-gapped deployments, AMD SEV-SNP, or Intel TDX.