$152,000 - $241,500 USD yearly
Build and demonstrate reference architectures for secure, scalable agentic AI infrastructure on Kubernetes.
Originally posted 10 November 2026 by the employer.
About the role
As a Solutions Architect on the Agentic AI team, you will support customer-facing technical engagements and connect real-world workloads to NVIDIA's hardware and software ecosystem. You will drive technical engagements for deploying agentic AI workloads, focusing on secure infrastructure, sandboxing, and policy enforcement.
What you'll do
- Drive technical engagements with customers and partners deploying agentic AI workloads, from initial architecture review through production hardening.
- Own the security and infrastructure architecture for agentic AI deployments, including sandboxing, policy enforcement, credential management, and network isolation.
- Build and demonstrate reference architectures for secure, scalable agentic AI infrastructure on Kubernetes.
- Participate in the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches.
- Engage hands-on with technical topics by building, testing, and validating customer and partner solutions.
- Relay field insights, customer partner needs, and technical feedback back to internal product and engineering teams.
What you'll need
- Bachelor's or Master's degree (or equivalent experience) in Computer Science, Engineering, or a related field.
- 3+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field, with hands-on exposure to AI safety and security.
- Production experience designing, deploying, or operating agentic AI systems, including agent frameworks (LangGraph, MCP, Hermes, Harbor), tool use, evaluation, and observability patterns.
- Foundational technical knowledge in agentic AI and demonstrated experience forming relationships to support complex product decisions.
- Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Skills: Solutions Architect, Agentic AI, Kubernetes, Security, Policy-as-Code
More semiconductor jobs: NVIDIA jobs · Field applications engineer jobs · California jobs
First seen in our index 0 days ago, well below the 63-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
120
|
Median days since first seen
63 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (120 roles · 23 employers) |
|---|---|---|
| Open roles in this specialty | 66 | 120 |
| Median days since first seen | 70 d | 63 d (−7 d vs this employer) |
| Median salary (USD postings) | n/a | $236k |
Skills observed across this category: Solutions Architect, Agentic AI, Kubernetes, Security, Policy-as-Code
Who's hiring in this category
- NVIDIA (this employer) · 63 open roles · median 73 d
- AMD · 13 open roles · median 67 d
- Renesas Electronics · 8 open roles · median 13 d
- Tenstorrent · 8 open roles · median 54 d
- Qualcomm · 5 open roles · median 26 d
- Arm Holdings · 3 open roles · median 13 d
How we counted: 120 open Applications FAE (AI ML Hardware) roles from 23 employers tracked in the SemiconductorJobs index, counted 10 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Days are counted from when our index first saw each posting, not from the employer's original posting date.