NVIDIA is on the lookout for a Senior Solutions Architect to engage with our Global Systems Integrator partners and AI consulting partners. This position demands a blend of technical authority and demonstrated experience in regional partnerships. The selected candidate will motivate our partners to rethink, innovate, and manage the enterprise business processes of the world’s largest companies utilizing Agentic AI on the NVIDIA platform. This is a highly technical position requiring profound knowledge in generative AI, large language models (LLMs), and scalable software engineering practices. Our aim is to forge enduring relationships with our technology partners, ensuring NVIDIA becomes a crucial component of their solutions. We need an individual who constantly contemplates artificial intelligence and can maintain alignment in a fast-paced, ever-evolving landscape.

As a Solutions Architect, you will serve as the primary technical expert connecting NVIDIA, our AI consulting partners, and end-customers. Your responsibilities will include creating pilots, demos, and MVPs, as well as fostering relationships with key technical teams to promote accelerated computing and Agentic AI. Engaging dynamically with developers, researchers, data scientists, IT managers, and senior leaders is an essential aspect of the Solutions Architect role, aimed at identifying challenges and devising solutions.

Responsibilities

• Become an expert in enabling GSI developers to adopt NVIDIA Agent Toolkit, Nemotron, and NIM for their AI offerings, platforms, and client services.
• Construct intricate AI agent workflows to autonomously analyze, strategize, perform tasks, access APIs, and rectify errors.
• Collaborate with Partner Business Managers to thoughtfully develop actionable and effective strategies for partnerships and alliances.
• Work closely with other Solutions Architects, engineering, product, and business teams at NVIDIA to create full-stack AI solutions for industry verticals and enterprise use cases.
• Inspire industry executives and GSI leaders by clearly articulating the business value of cutting-edge AI solutions.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field (or equivalent experience).
• 5+ years of experience in deep learning, data science, or software development with knowledge of parallel computing using GPUs.
• Strong development expertise in building RAG pipelines and Agentic AI applications.
• Background in development with LangChain and LangGraph for orchestrating LLMs.
• Excellent written and verbal communication skills, with the ability to collaborate effectively with management and engineering teams, and share knowledge with clients, partners, and colleagues.
• Strong listening skills, with the ability to understand and respond effectively, and present visionary technical solutions in English.

Preferred Qualifications

• Previous experience working with technical teams across various external stakeholders.
• Proficiency with orchestration platforms like Kubernetes and data center management, including compute, storage, and networking.
• Expertise in NVIDIA platform-based development using Nemo and NIM, as well as ML/DL frameworks and MLOps tools in cloud and on-premises environments.
• Experience in designing cloud-based solutions, APIs, microservices, orchestration platforms, storage solutions, and data migration techniques.
• A curious mindset to explore unfamiliar areas to solve complex problems and an exceptional ability to listen.