Solutions Architect, Agent Security

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation invites a Solutions Architect to join the Agentic AI team. You will support customer-facing engagements, map workloads to NVIDIA platforms, and help scale AI workloads across Kubernetes environments.

You’ll design architectures, collaborate with product and engineering teams, and drive security-focused deployments while growing technical credibility with customers and partners.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or equivalent.
• 3+ years in software/hardware engineering, partnerships, or solutions architecture.
• Hands-on exposure to AI safety and security concepts.

Responsibilities

• Support customer engagements and map workloads to NVIDIA stack under mentorship.
• Design and validate scalable architectures and deployment plans.
• Build and validate agentic AI reference architectures on Kubernetes.
• Document partner needs and relay field insights to product/engineering.
• Collaborate with engineering to ensure successful deployments.
• Drive technical engagements from architecture review to production hardening.
• Own security and infrastructure narrative for agentic AI deployments.
• Provide technical leadership for agent frameworks and observability patterns.

Skills

3+ years experience in solutions/eng

Agentic AI knowledge

Customer engagements

Architectural design

Linux security primitives

Kubernetes

Rust experience

Effective communication

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Kubernetes

LangGraph

MCP

Hermes

Harbor

OPA/Rego

Cedar

Sentinel

Job 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.

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.

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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.