About this role
NVIDIA seeks a Senior Solutions Architect to help enterprise software partners design, build and deploy secure agentic AI systems on its accelerated computing platform. The role works with partners in cybersecurity, AI safety, infrastructure protection and confidential computing to deliver AI products that meet enterprise security, privacy, safety, reliability and performance expectations.
Responsibilities
- Lead partner engagements from discovery and architecture through proof of concept, production readiness, rollout and scale. Build systems using multi-agent workflows, tool-using agents, RAG, planning, memory, evaluation, guardrails, policy enforcement and failure containment.
- Work with security software partners to integrate NVIDIA models into detection and response products for threat triage, investigation, remediation, natural-language-to-query, analyst automation, PII handling and content safety.
- Architect confidential AI deployments using NVIDIA Confidential Computing, GPU attestation, key-management integration, protected infrastructure and air-gapped patterns. Produce proofs of concept, benchmarks, reference architectures, reusable blueprints, field guidance and product feedback.
Required qualifications
- BS, MS or PhD in Computer Science, Electrical Engineering or AI/ML, or equivalent experience; at least 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, plus hands-on experience building LLM, generative AI, RAG or agentic AI applications in production or production-like settings.
- Depth in at least one of 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 knowledge of prompt injection, jailbreaks, unsafe tool use, data exfiltration and supply-chain risks.
Preferred experience includes NVIDIA AI software, LLM red-teaming and safety evaluation, secure agent execution and software supply-chain security, post-training and GPU-accelerated safety workflows, and confidential-computing technologies such as Confidential Containers, AMD SEV-SNP and Intel TDX. Listed locations are Santa Clara, California, and remote positions in Texas or California. The base salary range is 184,000–287,500 USD, with eligibility for equity and benefits.