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# Solutions Architect, Agent Security

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Salary:** $152,000 - $241,500
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Computer Engineering, Linux Security Modules, Software Safety, Agentic-AI, Kubernetes, Information Technology, Production Code
- **Published:** November 11, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Agent-Security_JR2029403

## About the Role

* Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
 * 3+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field - with some hands-on exposure to AI safety and security.
 * Foundational technical knowledge in agentic AI with a proven curiosity about building expertise and contributing to technical solutions.
 * Ability to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior collaborator levels.
 * Strong problem-solving skills, intellectual curiosity, and a genuine passion for aiding customers and partners succeed with technology.
 * Proven ability to form relationships with customers and partners, with a curiosity about developing the technical credibility and trust needed to support complex product decisions.
 * Production experience designing, deploying, or operating agentic AI systems - agent frameworks (LangGraph, MCP, Hermes, Harbor, etc.), tool use, eval, and observability patterns

Ways to Stand Out from the Crowd:

 * A hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges.
 * Early experience supporting customers and partners in adopting new technologies or platforms, with a passion for enabling others to succeed.
 * Hands-on experience with Linux security primitives (namespaces, seccomp, LSMs like Landlock) and policy-as-code systems (OPA/Rego, Cedar, Sentinel)
 * Rust experience - reading, reviewing, or writing production code

## Description

We're hiring a Solutions Architect to join the Agentic AI team. In this role, you'll support customer-facing technical engagements and help connect real-world workloads to NVIDIA's hardware and software ecosystem. We're looking for someone who is technically curious, eager to develop deep expertise in NVIDIA platforms, and excited to grow into a trusted technical resource for customers and partners. If you're passionate about applied technology and want to learn from some of the best engineers in the world, we'd love to hear from you., * Support technical engagements with customers and partners, helping to understand their workloads and identify how NVIDIA's technology stack can address their needs, under the mentorship of senior team members.

 * Participate in the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions.
 * Engage hands-on with technical topics-building, testing, and validating solutions that help customers and partners get started with and scale NVIDIA technologies.
 * Help document and communicate partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams.
 * Collaborate with engineering and product teams to understand NVIDIA's solutions and support successful customer deployments.
 * Drive technical engagements with customers and partners deploying agentic AI workloads - from initial architecture review through production hardening
 * Own the security and infrastructure narrative for agentic AI deployments - sandboxing, policy enforcement, credential management, network isolation
 * Build and demonstrate reference architectures for secure, scalable agentic AI infrastructure on Kubernetes