Senior Solutions Architect, Gen AI - Remote
$184,000 - $287,500 USD yearly
Originally posted 28 July 2026 by the employer. Relisted by the employer on 17 October 2026.
Guide customer deployment of Agentic AI workflows and LLM inference across NVIDIA GPU clusters.
About the role
What you'll do
- Provide hands-on technical guidance to partners and customers on the NVIDIA GenAI stack, guiding them to develop and deploy Agentic AI workflows. - Build demonstrations and POCs that address customer business needs, drafting requirements for missing features to resolve technical blockers. - Prepare and deliver technical training presentations, workshops, and industry use-case collateral such as notebooks and technical blogs. - Partner with engineering, product, and sales teams to secure customer design wins and refine product features using feedback from POC evaluations.
What you'll need
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience. - 8+ years of hands-on experience in a technical AI role, with an emphasis on Gen AI. - Demonstrated experience deploying and optimizing LLM models for inference in production using engines such as vLLM, TRT-LLM, or SGLang. - Expertise in training and fine-tuning LLMs using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. - Solid understanding of GPU cluster architecture and parallel processing for model training and inference. - Experience with DevOps tools including Docker, Kubernetes, GitLab, Linux Command Line, and Shell.
Skills: Gen AI, LLMs, inference, PyTorch, GPU cluster
This role has been open 142 days — well above the 86-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
86 d
|
Median salary
$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 (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 89 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 995 | 6297 · 144 employers |
| Median days open | 56 d | 86 d (−30 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Gen AI, LLMs, inference, PyTorch, GPU cluster
Who's hiring in this category
- Qualcomm · 105 open roles · median 115 d
- NVIDIA (this employer) · 89 open roles · median 57 d
- AMD · 34 open roles · median 107 d
- Micron Technology · 26 open roles · median 58 d
- Mobileye · 20 open roles · median 84 d
- Analog Devices · 18 open roles · median 42 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 24 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.