Senior Solutions Architect, Agentic AI — Safety and Security
AI summary of the role
Senior Solutions Architect role at NVIDIA focused on helping enterprise ISVs design and deploy secure agentic AI systems on NVIDIA's accelerated computing platform.
What you’ll do
- Lead strategic agentic AI partner engagements from discovery 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, and policy enforcement.
- Partner with security ISVs to integrate NVIDIA models into detection and response products, including threat triage, investigation agents, and remediation workflows.
- Architect secure and confidential AI deployments using NVIDIA Confidential Computing, GPU attestation, KMS integration, and air-gapped patterns.
What you’ll bring
- 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.
- Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production.
- Depth in AI/LLM security, enterprise cybersecurity, trust and safety, confidential computing, or secure AI infrastructure.
Technologies
NVIDIA Confidential Computing · GPU attestation · KMS · RAG · PyTorch · TensorFlow · NIM · NeMo Framework · NeMo Guardrails · TensorRT-LLM · Triton · OpenShell
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
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