# Solutions Architect, Model Builder - LATAM

**Company**: NVIDIA
**Location**: Sao Paulo
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Brazil-Sao-Paulo/Solutions-Architect--Model-Builder---LATAM_JR2016016?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a433a727-30a

## Description

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.

## Skills

### Required
- Python
- C/C++
- Linux
- PyTorch
- TensorFlow
- Deep Learning
- Machine Learning
- Distributed AI Systems
- LLM
- Generative AI
- Agentic AI
- Multi-Agent AI
- Kubernetes
- OpenShift
- CI/CD Automation
- Cloud-Native Deployment

### Nice to have
- NVIDIA NIM
- NeMo Framework
- NeMo Retriever
- NeMo Agent Toolkit
- LLM Evaluation Frameworks
- Benchmarking Systems
- Safety Guardrails
- Reasoning-Focused LLMs
- Quantization
- Parallel Computing
- Distributed Computing

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Brazil-Sao-Paulo/Solutions-Architect--Model-Builder---LATAM_JR2016016?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)