NVIDIA is looking for a Senior Solutions Architect to work with our Global Systems Integrator partners and AI consulting partners. This role requires a combination of technical authority and proven experience operating within regional partnerships. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest companies using Agentic AI using the NVIDIA platform. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), and scalable software engineering practices. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of their solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field.
As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our AI consulting partners and our end-customers. Your duties will vary from creating pilots, demos and MvPs, to building relationships with key technical teams to evangelize accelerated computing and Agentic AI. Dynamically engaging with developers, researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role, to identify challenges and create solutions.
What You'll be Doing
- Becoming an expert and enabling GSI developers to adopt NVIDIA Agent Toolkit, Nemotron and NIM for their AI offerings, platforms and client services.
- Construct complex AI agent workflows to analyse, strategise, perform tasks, access APIs, and fix errors autonomously.
- Work with Partner Business Managers to thoughtfully craft actionable and effective strategies for the partnerships/alliances.
- Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build AI full stack solutions for industry vertical and enterprise use cases.
- Encourage industry executives and GSI leaders by articulating the business value of state-of-the-art AI solutions.
What We Need to See
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
- 5+ overall years in deep learning, data science or software development with knowledge of parallel computing with GPUs
- Strong development expertise building RAG pipelines and Agentic AI applications.
- Developer background with LangChain and LangGraph orchestrating LLMs
- Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.
- Excellent ability to listen understand and answer, asking questions and being comfortable with presenting visionary technical solutions in English
Ways to Stand Out from The Crowd
- Prior experience working with technical teams across multiple external stakeholders
- Working proficiency with Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.
- Expertise in NVIDIA platform-based development using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.
- Background in cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques
- Curiosity to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener.