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NVIDIA

US, CA, Santa Clara; United States of America

Solutions Architect, Agent Security

Posted yesterday

Level
Mid level
Experience
3+ years
Work style
Hybrid
Full-time
Area
Security engineering

At a glance

The role in plain English

This Solutions Architect role focuses on supporting technical engagements around agentic AI security for NVIDIA's customers and partners. The position suits candidates with hands-on experience in agentic AI systems and a strong interest in security and scalable infrastructure. Day-to-day tasks include collaborating with engineering teams, designing secure architectures, and helping customers deploy and scale NVIDIA technologies. The role involves both technical problem-solving and communication with technical and non-technical stakeholders.

What you'll do

  • Support technical engagements with customers and partners
  • Assist in designing and validating scalable architectures
  • Build and validate secure agentic AI solutions
  • Document and relay technical feedback to internal teams
  • Collaborate with engineering and product teams

What they're looking for

Essential

  • Bachelor's or Master's in Computer Science or related field
  • 3+ years in a relevant technical role
  • Hands-on exposure to AI safety and security
  • Ability to communicate technical concepts clearly
  • Production experience with agentic AI systems

Nice to have

  • Early experience supporting technology adoption
  • Linux security primitives experience
  • Policy-as-code systems experience
  • Rust experience

Core skills

  • Agentic AI
  • Kubernetes
  • Linux security
  • Policy-as-code
  • Rust
  • Architecture design
  • Technical communication

The shape of the job

Technical depth

4/5

FoundationalSpecialist

Pace

3/5

SteadyFast-moving

Ownership

3/5

GuidedSelf-directed

Teamwork

4/5

Heads-downHighly collaborative

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Questions to prepare for

  1. 01Describe your experience deploying agentic AI systems in production environments.
  2. 02How would you approach securing agentic AI workloads on Kubernetes?
  3. 03Explain how you would communicate complex technical concepts to a non-technical audience.
  4. 04What challenges have you faced when integrating security primitives into AI infrastructure?

About NVIDIA

NVIDIA develops hardware and software platforms, including solutions for AI workloads and agentic AI systems.

Full job descriptionAs published by NVIDIA

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.

What You’ll Be Doing:

  • 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

What We Need to See:

  • 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

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until November 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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