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NVIDIA

US, CA, Santa Clara; US, Remote; United States of America

Senior Solutions Architect, Agent Infrastructure and Security

Posted yesterday

Level
Senior
Experience
8+ years
Work style
Remote
Full-time
Area
Security engineering

At a glance

The role in plain English

This role is for a Senior Solutions Architect focused on agent infrastructure and security, working with NVIDIA’s customers and partners. The position suits experienced professionals with a background in AI security, architecture design, and technical engagement. Day-to-day tasks involve mapping workloads to NVIDIA’s technology, co-designing secure architectures, and supporting deployments. The work requires both hands-on technical depth and the ability to communicate with stakeholders at all levels.

What you'll do

  • Map complex workloads to NVIDIA technology stack
  • Co-design secure, scalable architectures with customers and partners
  • Lead technical engagements and resolve issues
  • Advocate for customer technical needs
  • Build and demonstrate reference architectures for agentic AI infrastructure

What they're looking for

Essential

  • Bachelor's or Master's in Computer Science or related field
  • 8+ years professional experience, including 3-5+ years in AI security
  • Deep expertise in agentic AI and security
  • Strong communication skills with technical and non-technical audiences
  • Solid grounding in enterprise security fundamentals

Nice to have

  • Secure networking depth (mTLS, PKI, service mesh)
  • Background in formal methods or policy verification
  • Experience with OCSF or structured security-event frameworks

Core skills

  • Agentic AI
  • Enterprise security
  • Kubernetes
  • Network security
  • Secrets management
  • Threat modeling
  • Product integration

The shape of the job

Technical depth

5/5

FoundationalSpecialist

Pace

3/5

SteadyFast-moving

Ownership

4/5

GuidedSelf-directed

Teamwork

4/5

Heads-downHighly collaborative

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Questions to prepare for

  1. 01Describe how you would design a secure agentic AI deployment on Kubernetes.
  2. 02How do you approach mapping customer workloads to a technology stack?
  3. 03Explain your experience with secrets management and network isolation in enterprise environments.
  4. 04Give an example of resolving a complex technical issue for a customer or partner.

About NVIDIA

NVIDIA is a technology company known for its hardware and software platforms, including AI and graphics solutions. The listing references work with agentic AI and enterprise customers.

Full job descriptionAs published by NVIDIA

We’re hiring a Senior Solutions Architect to drive technical engagement with customers and partners across the Agentic AI SA team. In this role, you’ll connect real-world workloads to NVIDIA’s software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re passionate about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you.

What you’ll be doing:

  • Serve as a trusted advisor who understands complex or large-scale workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
  • Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans.
  • Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable success.
  • Lead technical engagements, helping customers and partners resolve sophisticated issues, and advocate for their technical needs.
  • Partner multi-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
  • 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.
  • 8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in AI security.
  • Deep technical expertise in agentic AI and security with a track record of driving product integrations and contributing to software or hardware platforms, systems, and libraries.
  • Shown ability to communicate sophisticated technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
  • Strong problem-solving skills, intellectual curiosity, and a dedication to helping customers succeed.
  • Proven success in balancing insight for customer and partner needs with the ability to drive complex product decisions through positive relationships.
  • Solid grounding in enterprise security fundamentals — identity, authz, network security, secrets management, threat modeling

Ways to Stand Out from the Crowd:

  • A hands-on technical expert and problem solver who can clearly describe solution paths for complex challenges.
  • History of enabling customers and/or partners to optimally adopt NVIDIA technologies and platforms.
  • A technical vision that influences product and engineering decisions and drives production outcomes.
  • Secure networking depth — mTLS, PKI, service mesh, egress proxy patterns
  • Background in formal methods, policy verification, or OCSF / structured security-event frameworks

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

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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