Solutions Architect

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

📋 Description

• Develop intricate agentic systems that involve multi-agent coordination, extended reasoning capabilities, and sophisticated planning frameworks.

• Create comprehensive solutions, encompassing domain-specific 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.

• Work collaboratively with Enterprise ISVs to embed NVIDIA software into native platforms, expediting the rollout of production workloads.

• Partner with various internal teams to refine NVIDIA software through insights gained from real-world applications.

• Equip partner engineering teams via technical workshops, in-depth architecture reviews, and developer support.

• Amplify global expertise by producing reusable assets and documentation that assist field teams in deploying agentic AI at scale.

⛳️ Requirements

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or a related field.

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

• Proficient 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 such as: 1. LangGraph 2. LlamaIndex 3. CrewAI 4. LangChain 5. OpenAI Agents SDK or similar orchestration frameworks.

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

• Capability to quickly prototype AI applications and design scalable GPU-accelerated architectures.

• Strong interpersonal skills and the ability to work effectively with engineering teams, partners, and executive stakeholders.

🏝️ Benefits

• Equity

• Benefits