AI Solution Architect Engineer, Consumer Personal Systems

AI Solution Architect Engineer, Consumer Personal Systems

Description -

• Design and implement AI automation solutions that improve engineering, marketing, and cross‑team workflows.

• Build scalable RAG (Retrieval‑Augmented Generation) pipelines, internal copilots, and intelligent agents to drive productivity.

• Evaluate and optimize LLMs across cloud, on‑prem, and edge environments based on performance, cost, and hardware constraints.

• Work with stakeholders to discover automation opportunities and deliver measurable efficiency improvements.

• Architect and build a local AI chatbot capable of diagnosing PC issues without internet connectivity.

• Implement optimized edge inference pipelines using CPU/GPU/NPU acceleration under strict latency, memory, and power constraints.

• Integrate system logs, telemetry, OS events, and hardware signals for accurate troubleshooting.

• Ensure solution stability, safety, and performance across a wide range of HP PC platforms.

• Experience deploying and optimizing LLMs across cloud, on‑prem, and edge hardware.

• Knowledge of quantization (INT8/FP8/4‑bit), distillation, pruning, and model optimization for constrained devices.

• Understanding of Chain‑of‑Thought (CoT), self‑consistency, and agent-based architectures.

• Hands-on experience with vector databases (FAISS, Milvus, pgvector, Elastic KNN).

• Ability to design embedding pipelines, chunking strategies, reranking, and retrieval observability (latency, hit-rate, grounding quality).

• Experience developing evaluation and regression testing frameworks for edge devices.

• Proficiency with LangChain (LCEL, agents, tools, tracing), LlamaIndex, and Hugging Face Transformers/PEFT.

• Experience using OpenAI / Azure OpenAI SDKs.

• Strong programming skills in Python (FastAPI/asyncio) plus one strongly typed language (C++/Rust/Go/C#).

• Experience with Ryzen AI (NPU) and Radeon GPUs for on‑device or edge LLM inference.

• Familiarity with ONNX Runtime, TensorRT, OpenVINO, DirectML or equivalent inference runtimes.

• Experience profiling and optimizing latency, throughput, and memory usage on constrained hardware.

• Proficiency in CUDA acceleration, including CUDA kernels, CUDA streams, Unified Memory, CUDA Graph execution.

• Knowledge of AKS/Kubernetes, hybrid networking, VNet, Private Endpoint, and secure identity models (Managed Identity / RBAC).

• Experience with Docker, CI/CD pipelines (GitHub Actions / Azure DevOps), and versioning of models, indices, and prompts.

• Understanding of enterprise requirements: audit logging, OAuth2/JWT, data governance, telemetry, observability.

• Experience building offline or hybrid AI applications on Windows/PC platforms.

• Background in PC system architecture, OS‑level diagnostics, or telemetry pipelines.

• Experience developing customer-facing AI assistants or troubleshooting tools.

• Understanding of Responsible AI, privacy-preserving inference, and secure data handling.

• Ability to explain complex AI concepts clearly to both technical and non‑technical teams.

• Strong cross-team collaboration and communication skills.

• Ownership mindset, strong problem‑solving ability, and passion for innovation

Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
• Provides highly innovative solutions to complex problems within established policy.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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Job -

Software

Schedule -

Full time

Shift -

No shift premium (Taiwan)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"