Solution Architect, Generative AI
Core
Design and demonstrate GenAI solutions (inference, agent-based systems) for enterprise clients in Japan using NVIDIA GPU-accelerated computing.
Role type
Solution Architect (Generative AI)
Builds
GPU-accelerated GenAI solutions, agent-based systems, and optimized inference pipelines for enterprise customers.
Domain
Generative AI, Deep Learning, Accelerated Computing
Deliverable
client delivery
Required skills
Generative AI, Deep Learning, Python, C/C++, Linux, Docker, Kubernetes, SLURM, Agent-based system design, Model optimization (lower precision compute), Pre-sales architecture
Preferred skills
Large-scale training/inferencing pipeline deployment, Transformer architecture pre/post-training, Custom Kubernetes configuration
Responsibilities
Develop and demonstrate GenAI solutions focusing on inference; Advise customers on agent-based system design and optimal models/infrastructure; Drive pre-sales conversations and build architectures/demos; Create or run Proofs of Concept and demos involving Python coding and model deployment; Perform in-depth analysis and optimization for performance and cost-effectiveness.
Seniority
Senior, hands-on IC
