Solutions Architect, Model Builder - LATAM

Join NVIDIA as a Solutions Architect 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. As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused enterprise agents.

Key Responsibilities:

• Localize the future: Fine-tune LLMs to speak the authentic language of specific regions and industries.
• Develop and optimize training and inference workflows with partners and collaborate with internal NVIDIA development teams to improve our software stack
• Build sophisticated agentic systems featuring multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks.
• Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
• Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
• Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.
• Partner with high-growth startups and Enterprise ISVs to embed NVIDIA’s software stack into their core platforms, slashing the time to market for production-grade AI.
• Fuel partner innovation through hands-on developer enablement and thorough architectural reviews, turning sophisticated AI visions into production realities.
• Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.

Requirements:

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
• 5+ years of experience in deep learning, machine learning, or distributed AI systems.
• Strong programming and debugging experience in Python, C/C++, and Linux environments.
• Background in using deep learning libraries like PyTorch or TensorFlow.
• Hands-on experience building LLM and generative AI applications.
• Experience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK or similar orchestration frameworks
• Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
• Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.
• Excellent interpersonal skills and the ability to collaborate with engineering teams, partners, and executive collaborators.

Nice to Have:

• Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.
• Experience with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.
• Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.
• Familiarity with Kubernetes/OpenShift, CI/CD automation, and cloud-native deployment patterns for AI systems.
• Experience with parallel or distributed computing environments and AI workloads optimized for GPUs.