Solutions Architect, Agent Security

NVIDIA is hiring a Solutions Architect, Agent Security in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions LangGraph and AI safety among its tools and skills.
Level classes it as a mid-level role.
NVIDIA has 2,600+ other open roles on Level.
Posted in the last few days.

AI in this role

LangGraph

ai-safety

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.

How we rate this

Solutions Architect, Agent Security at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect, Agent Security is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $152k-$242k a year.
The role is based in US, CA, Santa Clara.
The job was posted on November 10, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyLangGraph

Also common in solutions architect jobs at this level

AWS Python Generative AI Azure Google Cloud LLM

Pay

This job starts at: $152k
Typical solutions architect job: $168k

This posting starts 10% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Walk me through how you've used LangGraph in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Safety and LangGraph. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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