ApplySarthi

Senior Solutions Architect, Agent Infrastructure and Security

Nvidia

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What infrastructure roles keep asking for: AWS (30%), Python (30%), Observability (25%), Kubernetes (24%), System design (24%), Linux (20%), Terraform (19%), CI/CD (17%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Kubernetes? Tell me one thing you learned the hard way.
  3. Tell me about an outage you handled. What did you learn from it?
  4. How do you decide what to monitor, and what should wake someone up at night?
  5. How would you cut the cloud bill of a system without hurting it?

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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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Listed on workday · posted 2026-11-10. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.