NVIDIA

Solutions Architect, Generative AI Specialist

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York

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Salary

💰 $148,000 - $235,750 per year

Job Level

Mid-LevelSenior

Tech Stack

Cloud

About the role

  • NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
  • Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
  • NVIDIA is in search of a proficient AI architect/engineer to join as a Senior Solutions Architect, focusing on Generative AI - a ground-breaking opportunity to work with innovative technology and collaborate with top professionals in the industry.
  • What you'll be doing: One of the perks of joining NVIDIA is that you’ll enjoy access to incredible emerging technology. You will use our NVIDIA AI platform to demonstrate end-to-end deployment of AI solutions in exciting segments such as healthcare, manufacturing, and financial services.
  • Develop reference architectures and prototypes for complex AI orchestration patterns in industry-specific contexts.
  • Build and lead proof-of-concept engagements for novel agentic AI solutions that bring these AI workflows to life.
  • Design and advise on multi-cloud and hybrid-platform strategies and deployments, ensuring customers can bring to bear the best tools for their specific business challenges.
  • Lead live workshops, working sessions, and trainings to ensure partner and customer success.
  • Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.
  • Cultivate learning and improvement by providing valuable feedback to sales and product specialists.
  • What we need to see: Over 5 years crafting scalable agentic AI systems and complex LLM-powered workflows.
  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
  • Validated experience with MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring.
  • Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack).
  • Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability.
  • Strong understanding of modern GenAI ecosystem and LLM architectures.
  • Proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA.
  • Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.
  • Passion for learning and experience crafting educational materials within the AI or Cloud domain.
  • Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.
  • Strong communication skills and experience working in external-facing roles.
  • Comfortable working in a highly collaborative environment.
  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Requirements

  • Over 5 years crafting scalable agentic AI systems and complex LLM-powered workflows.
  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
  • Validated experience with MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring.
  • Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack).
  • Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability.
  • Strong understanding of modern GenAI ecosystem and LLM architectures.
  • Proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA.
  • Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.
  • Passion for learning and experience crafting educational materials within the AI or Cloud domain.
  • Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.
  • Strong communication skills and experience working in external-facing roles.
  • Comfortable working in a highly collaborative environment.