Senior Solutions Architect, Generative AI Specialist

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 51 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

As a Senior Solutions Architect on the Advanced Technology Partner team, you will serve as a technical advisor and hands-on creator for NVIDIA’s sophisticated AI partners. Your role involves leading prototyping engagements from concept to production, architecting high-performance agentic AI systems, diagnosing system issues, and producing reusable technical assets. You will collaborate with internal teams and mentor new members while expanding your expertise through certifications and special projects. The ideal candidate has over 8 years of experience in developing and deploying complex AI/ML systems, proficiency in advanced GenAI approaches, and hands-on experience with NVIDIA’s AI software suite including NVAIE, NeMo, and Triton Inference Server. This role demands a deep understanding of GPU-optimized infrastructure, multimodal AI systems, and responsible AI practices, as well as the ability to communicate technical concepts effectively across diverse audiences.

Skills

NVIDIA_AI_Enterprise Kubernetes Docker Python CUDA TensorRT Triton_Inference_Server NeMo LangChain MLOps Prometheus Grafana CI/CD GPU OpenShell RAG LLM PEFT LoRA Synthetic_data_generation Responsible_AI HIPAA GDPR NVIDIA_Omniverse Isaac_Sim Jetson CUDA_libraries NVIDIA_Agent_Intelligence_toolkit

What you'll do

  • Function as chief technical advisor for advanced AI partners, aligning their roadmaps with NVIDIA’s technology.
  • Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures.
  • Architect high-performance agentic AI systems and RAG pipelines for enterprise use.
  • Diagnose and resolve complex system issues across the full AI stack from model selection to deployment.
  • Produce reusable technical assets like implementation guides and benchmarks to accelerate partner success.
  • Collaborate with internal teams to resolve critical partner issues and speed up shared success.

What we're looking for

  • 8+ years of experience developing and deploying complex AI/ML systems and LLM-powered workflows.
  • Expertise in advanced generative AI techniques, including RAG pipelines and multimodal AI systems.
  • Hands-on experience with GPU-optimized infrastructure, microservices, and MLOps for automated training.
  • Strong command of responsible AI practices, including data governance and regulatory compliance.
  • Proven ability to lead enterprise AI prototyping engagements from concept to production.
  • Skilled in NVIDIA's AI software suite and Physical AI platforms like Omniverse and Isaac Sim.
  • Active participation in the AI community through presentations or open-source contributions.

Market check

Salary context

This $184,000–$287,500 range sits above 73% of similar postings on FindRole.

Peer median band

$170,000–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$165,852–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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