# Senior Solutions Architect

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Agent-Infrastructure-and-Security_JR2029407?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-solutions-architect-4c9a079d-6ed/

## 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.

**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.

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## Skills

### Required
- agentic AI
- security
- Kubernetes
- AI security
- enterprise security fundamentals
- network security
- threat modeling
- identity
- authz
- secrets management

### Nice to have
- mTLS
- PKI
- service mesh
- egress proxy patterns
- formal methods
- policy verification
- OCSF / structured security-event frameworks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Agent-Infrastructure-and-Security_JR2029407?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)