NVIDIA is seeking a Solutions Architect to lead the development of Agentic AI for enterprise applications. This role involves collaborating with top-tier software companies to create and deploy advanced AI-native systems. The architect will leverage NVIDIA's core technologies to optimize performance and guide partners in deploying production-grade solutions. The position emphasizes building complex agentic systems and enhancing NVIDIA software through real-world feedback.

• 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 LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK.
• 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.

• 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 spanning various data sources.
• Optimize inference performance by utilizing 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.