AI Solution Architect, AI 解決方案架構師 (內湖瑞光)
Core
Design and implement enterprise-grade AI solutions, including Generative AI, AI Agents, and Edge AI platforms, bridging business needs with technical architecture for industrial applications.
Role type
Senior AI Solution Architect
Builds
Internal AI platforms (OpenClaw, Hermes Agent), multi-tenant AI services, Edge AI servers, and integrated AI workflows for business units.
Domain
Industrial AI, Generative AI, Edge Computing, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, REST API integration, Generative AI/LLM/RAG fundamentals, AI Agent/Workflow automation, Cloud AI platforms (Azure/AWS/GCP), Containerization (Docker/Kubernetes), English technical documentation
Preferred skills
OpenClaw/Hermes/NemoClaw platforms, LangChain/LlamaIndex/AutoGen frameworks, vLLM/TensorRT-LLM inference serving, NVIDIA AI ecosystem (CUDA/TensorRT), Edge AI/Industrial AI scenarios, AIOps/Observability, Vector databases, SAP/PLM/CRM integration, Manufacturing/Edge AI project experience
Technologies
Python, Azure OpenAI, Azure AI Foundry, vLLM, SGLang, TensorRT-LLM, Triton, NVIDIA NIM, CUDA, Kubernetes, Docker, SAP, Salesforce, Milvus, Qdrant, FAISS
Responsibilities
Design enterprise AI solution architectures and multi-agent workflows; Integrate AI agents with legacy systems (SAP, CRM, ERP); Deploy and optimize LLM/VLM inference on Edge and Cloud; Establish AI platform observability, governance, and cost management; Translate business requirements into technical proposals and PoC plans.
Seniority
Senior, hands-on IC
