Enterprise AI Security Architect - Multi-Agent Systems

NVIDIA AI; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Senior Solutions Architect to help enterprise ISVs design, build, and deploy secure agentic AI on the NVIDIA accelerated computing platform in Santa Clara, CA.

You will lead engagements from discovery through PoC, production readiness, and scale, building enterprise-grade agentic AI systems with multi-agent workflows, tool use, RAG, memory, and guardrails. A strong background in AI/ML, security, and Python is required.

Qualifications

• BS/MS/PhD in CS/EE/AI 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 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; aware of prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and model or skill supply-chain risk.

Responsibilities

• 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.

Skills

Python

Linux

LLM

Agentic AI

PyTorch

TensorFlow

Distributed systems

Education

BS/MS/PhD in CS/EE/AI

Tools

NIM

NeMo Framework

NeMo Guardrails

TensorRT-LLM

Dynamo

NeMo Agent Toolkit

Job description

NVIDIA is seeking a Senior Solutions Architect to help enterprise ISVs design, build, and deploy secure agentic AI on the NVIDIA accelerated computing platform in Santa Clara, CA.

You will lead engagements from discovery through PoC, production readiness, and scale, building enterprise-grade agentic AI systems with multi-agent workflows, tool use, RAG, memory, and guardrails. A strong background in AI/ML, security, and Python is required.