
Senior Solutions Architect, Agent Infrastructure and Security
Santa Clara, CAFull-time$184–357K/yrPosted todayStill listed today
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At a glance
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Job overview
NVIDIA is hiring a Senior Solutions Architect to support customers and partners adopting and scaling its platforms for agentic AI workloads. The role leads technical engagements, co-designs scalable architectures, and supports solutions from architecture review through production hardening. It also owns the security and infrastructure narrative for deployments and builds reference architectures on Kubernetes, while partnering with engineering and product teams to improve NVIDIA solutions.
Skills & qualifications
Skills
Qualifications
Full job description
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.
How this job compares
Set against the 8,806 open Solutions Architect jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$184–357K/yr
- California median$152–266K/yr1,001 salary ranges
- US median$139–247K/yr7,833 salary ranges
This range's midpoint, $270K, is 30% above the California median midpoint ($208K) — in the top quarter of Solutions Architect salary ranges in California.
- Openings
- Olive Jobs lists 1,087 open Solutions Architect jobs in California and 8,806 across the US. 11% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Solutions Architect postings that state a minimum ask for 7 years at the median (7,703 postings).
- Education
- 2,774 of the 8,806 open Solutions Architect jobs (32%) ask for a bachelor's degree or higher.
Pay, requirements and demand for Security jobs
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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