Senior Solutions Architect, Generative AI Specialist

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Solutions Architect specializing in Generative AI, focusing on developing end-to-end AI solutions, reference architectures, and proof-of-concept engagements for agentic AI systems and LLM-powered workflows. The role involves designing multi-cloud strategies, leading workshops, and advising on MLOps principles and emerging standards for agentic AI.

What you'd actually do

  1. Develop reference architectures and prototypes for complex AI orchestration patterns in industry-specific contexts.
  2. Build and lead proof-of-concept engagements for novel agentic AI solutions that bring these AI workflows to life.
  3. 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.
  4. Lead live workshops, working sessions, and trainings to ensure partner and customer success.
  5. Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.

Skills

Required

  • 8+ 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)
  • MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring
  • Developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack)
  • Emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability
  • Modern GenAI ecosystem and LLM architectures
  • Innovative PEFT techniques like LoRA, QLoRA, and DoRA
  • Foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience
  • Crafting educational materials within the AI or Cloud domain
  • Knowledge of emerging trends and tools in AI
  • Strong communication skills and experience working in external-facing roles
  • Comfortable working in a highly collaborative environment

Nice to have

  • Passion for learning
  • Clear love of technology and AI

What the JD emphasized

  • Over 8 years crafting scalable agentic AI systems and complex LLM-powered workflows
  • Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework
  • Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability
  • Proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA

Other signals

  • Develop reference architectures and prototypes for complex AI orchestration patterns
  • Build and lead proof-of-concept engagements for novel agentic AI solutions
  • Over 8 years crafting scalable agentic AI systems and complex LLM-powered workflows
  • Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework