Senior Agentic AI Architect — Secure, Multi-Agent Systems

NVIDIA; California (MO); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Solutions Architect to help leading Enterprise ISVs design, build, and deploy secure agentic AI systems on NVIDIA's accelerated computing platform.

You will partner with cybersecurity and confidential computing leaders to create trustworthy AI products with strong security, privacy, safety, and performance. The role involves PoCs, benchmarks, and scalable reference architectures, with a base salary range noted below.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
• 8+ years in engineering, solutions architecture, applied ML, or enterprise software.
• 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.
• Depth in AI/LLM security, enterprise cybersecurity, confidential computing, or secure AI infrastructure.

Responsibilities

• Lead strategic agentic AI partner engagements from discovery to PoC and scale.
• Build enterprise-grade agentic AI systems with multi-agent workflows, tool-using agents, and guardrails.
• Partner with security ISVs to integrate NVIDIA models into detection and response products.
• Architect secure and confidential AI deployments using NVIDIA Confidential Computing and KMS integration.
• Create PoCs, benchmarks, reference architectures, and reusable blueprints for production deployment.

Skills

Python

Linux

PyTorch

TensorFlow

Agentic AI

Security risk awareness

Education

BS/MS/PhD in CS/EE/AI

Tools

NIM

NeMo Framework

Triton

TensorRT

Job description

NVIDIA is seeking a Senior Solutions Architect to help leading Enterprise ISVs design, build, and deploy secure agentic AI systems on NVIDIA's accelerated computing platform.

You will partner with cybersecurity and confidential computing leaders to create trustworthy AI products with strong security, privacy, safety, and performance. The role involves PoCs, benchmarks, and scalable reference architectures, with a base salary range noted below.