Solutions Architect
Location
California
Posted
81 days ago
Salary
$152K - $241.5K / year
Seniority
Senior
Job Description
Solutions Architect
NVIDIA
• Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced 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. • Collaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads. • Collaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations. • Empower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement. • Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.
Job Requirements
- BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
- More than 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: 1. LangGraph 2. LlamaIndex 3. CrewAI 4. LangChain 5. 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.
Benefits
- equity
- benefits
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