AI Architect (內湖瑞光)
Advantech Co., Ltd.6 hours ago
Taipei, TaiwanSenior / Staff+
Responsibilities
- Define and own the end-to-end architecture for enterprise AI agents and applications across model, skill/MCP, data, and integration layers.
- Architect the NemoClaw model platform, including evaluation, benchmarking, fine-tuning, model routing, harness engineering, and inference optimization.
- Design the enterprise skill registry, MCP server framework, agent orchestration, and A2A standards with governance for versioning and reuse.
- Establish data and RAG architecture covering semantic layers, master data, vector stores, knowledge bases, and retrieval pipelines.
- Set deployment, security, compliance, RBAC, audit, prompt-injection defense, guardrail, and responsible-AI standards.
- Design secure integration patterns for agents to interact with enterprise systems through governed APIs, data, and permissions.
- Define agent CI/CD, tracing, telemetry, regression evaluation, token-cost, capacity, reliability, and observability practices.
- Create reusable architecture patterns, implementation templates, and guardrails; conduct design and code reviews and mentor engineers.
- Evaluate frontier models, agent frameworks, RAG stacks, and protocols, and provide build-versus-buy and platform-direction recommendations.
- Prototype, review implementations, and partner with AI engineers and the AI Project Manager to deliver scalable, reliable, and cost-effective solutions.
- Provide architectural guidance for other enterprise application and system-integration projects as needed.
Requirements
- 7–12 years of experience in software engineering, AI/ML, data engineering, or solution architecture, including 3+ years designing production AI/ML or large-scale distributed systems.
- Proven experience designing and shipping production systems built on LLMs and agentic architectures, including RAG, tool use, and orchestration.
- Deep hands-on expertise with models and inference, prompt and harness engineering, vector stores and retrieval, APIs, and system integration.
- Strong software-engineering fundamentals and experience setting architectural standards, conducting design and code reviews, and mentoring engineers.
- Experience with Azure and/or AWS cloud AI platforms and on-premises or data-isolated deployment.
- Understanding of AI and data governance, security controls, and human-in-the-loop design.
- Ability to translate business needs into architecture and communicate technical direction to engineers and business stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Professional working proficiency in English and Mandarin Chinese.
- Preferred: experience building internal AI platforms such as model gateways, MCP/skill registries, or agent orchestration frameworks.
- Preferred: familiarity with SFT, LoRA, RLHF, model evaluation, and benchmarking.
- Preferred: experience with observability, eval-driven testing, token-cost management, and capacity management for LLM or agent systems.
- Preferred: knowledge of enterprise systems and integration, including CRM, SFDC, e-commerce, quotation, ERP, and API-gateway design.
- Preferred: exposure to the NVIDIA AI stack, on-premises GPU infrastructure, or open-source LLM serving.
- Preferred: open-source AI or agent contributions, relevant publications, or cloud/AI architecture certifications.
Categories
About Advantech Co., Ltd.
Advantech Co., Ltd. designs and sells industrial PCs, embedded boards, IoT gateways, and edge-computing platforms—plus software such as its WISE-IoT suite—for manufacturers, utilities, healthcare, transportation, and retail. The company also provides design-in and systems integration services. Founded in 1983 and headquartered in Taipei’s Neihu District, it is a public company listed in Taiwan and serves customers globally.