Senior Solutions Architect, Generative AI Specialist

Nvidia

Actively hiring
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

Join our Advanced Technology Partner team as a Senior Solutions Architect specializing in Generative AI. You will serve as the primary technical liaison for sophisticated AI partners, leading prototyping engagements from concept to production-ready solutions while building high-performance agentic AI systems and RAG pipelines. Your responsibilities include diagnosing complex system issues, creating reusable technical assets, and collaborating with internal teams to resolve critical challenges. Ideal candidates have over 8 years of experience in deploying AI/ML systems, deep proficiency in advanced GenAI techniques, and hands-on expertise with NVIDIA’s AI software suite including NVAIE, NeMo, and Triton Inference Server. This role demands a strong understanding of GPU-optimized infrastructure and responsible AI practices, as well as active engagement in the AI community through open-source contributions or conference presentations.

Skills

NVIDIA_AI_Enterprise TensorRT Triton_Inference_Server CUDA NeMo NIM_inference_microservices NVIDIA_Agent_Intelligence_toolkit Python Kubernetes Docker MLOps Prometheus Grafana GitLab_CI_CD Synthetic_data_generation Prompt_engineering RAG GPU_optimized_infrastructure CI/CD PostgreSQL Redis GraphQL

What you'll do

  • Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures.
  • Build enterprise-grade agentic AI systems and RAG pipelines for high-performance inference.
  • Diagnose and resolve intricate system issues across the full AI stack from model selection to deployment.
  • Produce reusable technical assets like implementation guides and benchmarks for partners.
  • Mentor new team members and participate in hiring panels to expand the team’s depth.

What we're looking for

  • 8+ years of experience developing and deploying AI/ML systems.
  • MS or advanced degree in Computer Science, AI, or related field.
  • Deep proficiency in GenAI techniques like RAG, prompt engineering.
  • Expertise in building robust multi-agent and multimodal architectures.
  • Hands-on experience with model fine-tuning and synthetic data generation.
  • Strong command of GPU-optimized infrastructure and MLOps pipelines.
  • Understanding of AI observability and responsible AI practices.

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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