Solutions Architect, Model Builder - Latam

Nvidia Corporation

Multiple Locations
On-site
Fine-tune llms for regional languages
Develop agentic ai systems
Build rag pipelines
Nvidia Corporation is seeking a Solutions Architect, Model Builder for the LATAM region to develop culturally-responsive large language models (LLMs) and empower local developers in creating advanced AI applications. The ideal candidate will have extensive experience in deep learning, programming, and multi-agent AI systems, with a strong focus on collaboration and performance optimization

Job Summary

  • Join NVIDIA to help LATAM build culturally-nuanced LLMs and empower local developers to build and deploy next-generation agentic AI applications.
  • Collaborate with premier startups, research labs and ISVs to develop the next generation components of the AI-native systems.
  • By mastering NVIDIA’s core technologies—NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit—you will guide partners through the complexities of performance optimization and production-grade deployment.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Solutions Architect, Model Builder for the LATAM region to develop culturally-responsive large language models (LLMs) and empower local developers in creating advanced AI applications. The ideal candidate will have extensive experience in deep learning, programming, and multi-agent AI systems, with a strong focus on collaboration and performance optimization.

Skills & Requirements

Must-have

  • Fine-tune LLMs for regional languages
  • Develop agentic AI systems
  • Build RAG pipelines
  • Optimize inference performance
  • Hands-on PoCs and reference architectures
  • Embed NVIDIA software stack

Nice-to-have

  • NVIDIA AI software experience
  • LLM evaluation frameworks
  • Kubernetes/OpenShift familiarity
  • Parallel/distributed computing

Key Requirements

  • BS/MS/PhD in Computer Science or equivalent
  • 5+ years in deep learning/ML
  • Python, C/C++, Linux experience
  • PyTorch or TensorFlow experience
  • LLM and generative AI application experience
  • Agentic/multi-agent AI systems experience
  • Tool-using AI agents experience
  • Rapid AI prototyping
  • Scalable GPU-accelerated architectures
  • Interpersonal and collaboration skills

Work Rights

Not specified

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