Solution Architect - Agentic AI

Responsibilities

• Exploring the latest advancement in model training, fine tuning and customization, while supporting building agentic LLM applications.
• Enabling NVIDIA strategic customers to build enterprise AI solutions using accelerated computing stack including NIMs and NeMo microserviecs.
• Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance.
• Establishing and building repeatable reference architecture, communicate standard processes and understand solution trade-offs. Share findings and feedback to improve products and services.
• Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins.
• Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators.
• What we need to see
• Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.
• BS or MS in Computer Science, Engineering, Mathematics, or Physics (or equivalent experience)
• 5+ years of industry or academic experience related to Generative AI or Deep Learning

Languages