Ai Solution Architect Engineer, Consumer Personal Systems

HP

Taipei City, Taiwan
On-site
Llm deployment (cloud/on-prem/edge)
On-device ai acceleration
Rag pipelines and intelligent agents
Design and build advanced AI systems to enhance workflow efficiency across Consumer Personal Systems & Gaming

Job Summary

  • Design and build advanced AI systems to enhance workflow efficiency across Consumer Personal Systems & Gaming.
  • Lead the development of an on-device, offline-capable intelligent support chatbot for HP PCs.
  • Architect and build local AI chatbots capable of diagnosing PC issues without internet connectivity.

Matching Summary

Design and build advanced AI systems to enhance workflow efficiency across Consumer Personal Systems & Gaming.

Skills & Requirements

Must-have

  • LLM deployment (cloud/on-prem/edge)
  • On-device AI acceleration
  • RAG pipelines and intelligent agents
  • Edge inference pipelines
  • Vector databases (FAISS, Milvus, pgvector)
  • LangChain, LlamaIndex, Hugging Face
  • Python (FastAPI/asyncio), C++/Rust/Go/C#

Nice-to-have

  • Cross-team collaboration and communication
  • Ownership mindset and problem-solving
  • Passion for innovation
  • Responsible AI and privacy
  • Customer-facing AI assistants

Key Requirements

  • Deploying and optimizing LLMs across cloud, on-prem, and edge hardware
  • Quantization, distillation, pruning, model optimization
  • Chain-of-Thought, self-consistency, agent-based architectures
  • Embedding pipelines, chunking strategies, reranking, retrieval observability
  • Evaluation and regression testing frameworks for edge devices
  • Ryzen AI (NPU) and Radeon GPUs for inference
  • ONNX Runtime, TensorRT, OpenVINO, DirectML
  • CUDA acceleration (kernels, streams, Unified Memory)
  • AKS/Kubernetes, hybrid networking, secure identity models
  • Docker, CI/CD pipelines, model versioning
  • Enterprise requirements: audit logging, OAuth2/JWT, data governance

Work Rights

Not specified

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