Solutions Architect, Model Builder

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Localize the future: Refine LLMs to communicate in the genuine languages of specific regions and industries.

• Collaborate with partners to develop and enhance training and inference workflows, working alongside internal NVIDIA development teams to advance our software stack.

• Create advanced agentic systems that incorporate multi-agent coordination, long-term reasoning, and intricate planning frameworks.

• Design comprehensive solutions, including specialized enterprise agents and high-performance retrieval pipelines (RAG) that integrate various data sources.

• Enhance inference performance by leveraging GPU-accelerated frameworks and the complete NVIDIA AI infrastructure stack.

• Construct practical PoCs and reference architectures that act as blueprints for production-quality generative AI pipelines.

• Collaborate with rapidly growing startups and Enterprise ISVs to integrate NVIDIA’s software stack into their core platforms, significantly reducing the time to market for production-grade AI.

• Drive partner innovation through practical developer enablement and comprehensive architectural reviews, transforming complex AI concepts into tangible production outcomes.

• Expand global expertise by creating reusable resources and documentation that assist field teams in deploying agentic AI at scale.

⛳️ Requirements

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.

• Over 5 years of experience in deep learning, machine learning, or distributed AI systems.

• Strong programming and debugging skills in Python, C/C++, and Linux environments.

• Experience with deep learning libraries such as PyTorch or TensorFlow.

• Practical experience in developing LLM and generative AI applications.

• Familiarity with agentic or multi-agent AI systems utilizing frameworks like LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK, or similar orchestration frameworks.

• Experience in building tool-using AI agents that interact with APIs, databases, and enterprise systems.

• Ability to quickly prototype AI applications and develop scalable GPU-accelerated architectures.

• Exceptional interpersonal skills and the capacity to collaborate effectively with engineering teams, partners, and executive stakeholders.

🏝️ Benefits

• Flexible work arrangements.

• Professional development opportunities.