Senior Solutions Architect, Agent Infrastructure and Security
NVIDIA is hiring a Senior Solutions Architect, Agent Infrastructure and Security in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
- Pay on this posting starts 10% higher than the typical solutions architect posting on Level.
- Level classes it as a senior role.
- NVIDIA has 2,800+ other open roles on Level.
- Posted in the last few days.
AI in this role
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
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.How we rate this
Senior Solutions Architect, Agent Infrastructure and Security at NVIDIA rates 72 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.
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.
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Pay
- This job starts at
- $184k
- Typical solutions architect job
- $168k
This posting starts 10% above the typical solutions architect job. See solutions architect jobs
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