Senior Solutions Architect, Agentic AI - Safety and Security

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $236k
$137k most similar roles pay here $304k

This role pays more than 78% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $199k for comparable roles.

Based on 239 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Agentic AI - Safety and Security

Senior Solutions Architect, Agentic AI — Safety and Security joins the team to help enterprise ISVs design, build, and deploy secure agentic AI systems on an accelerated computing platform. This role involves leading strategic engagements from discovery through production scale, focusing on multi-agent orchestration, RAG, tool use, guardrails, and policy enforcement. The architect will develop infrastructure for threat triage, investigation agents, and PII handling while building secure deployments using confidential computing, GPU attestation, and air-gapped patterns. Key technical requirements include proficiency in Python, Linux, PyTorch, or TensorFlow, alongside expertise in LLM security, prompt injection defense, and model customization. The role addresses the critical challenge of creating trustworthy AI products that meet enterprise standards for privacy and safety while navigating risks like jailbreaks, tool-based data exfiltration, and supply-chain vulnerabilities within complex cybersecurity and infrastructure protection environments.

What does a Solutions Architect earn in Remote?

Median $231100 from 71 postings across 13 companies.

See salary data

What you'll do

  • Lead strategic partner engagements from initial discovery and architecture through production rollout and scaling.
  • Build enterprise-grade agentic AI systems featuring multi-agent workflows, RAG, tool use, and policy enforcement.
  • Integrate NVIDIA models into cybersecurity products for threat triage, investigation, and automated remediation.
  • Architect secure and confidential AI deployments using GPU attestation, KMS integration, and protected infrastructure.
  • Develop technical assets including PoCs, benchmarks, reference architectures, and reusable blueprints for partners.
  • Implement safety measures such as guardrails, failure containment, and PII handling in production environments.
  • Design secure execution environments to mitigate risks like prompt injection and unauthorized tool invocation.

What we're looking for

  • BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
  • 8+ years of experience 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 environments.
  • Expertise in areas such as AI/LLM security, enterprise cybersecurity, trust and safety, or confidential computing.
  • Proficiency in Python and Linux with experience using PyTorch, TensorFlow, or similar frameworks.
  • Knowledge of risks including prompt injection, jailbreaks, tool-based data exfiltration, and supply-chain risk.
  • Experience with NVIDIA AI software, LLM red-teaming, or GPU-accelerated safety and security workflows.

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