出海雷达

资深工程师 - AI 平台

Principal Engineer - AI Platform

AI开发工程限定地区(需当地身份)
公司iHerb
薪资$204,000 - $260,000/年
工作地点Canada
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

为更好的你

在iHerb,我们相信健康平衡的生活应该对每个人来说都简单且可及。作为团队成员,我们将赋能你每天践行这一承诺,在你的职业生涯中产生真正的全球影响。

我们不断追求创新,同时转变和提升客户的在线购物体验。我们认为, individually 我们是出色的,但当我们团结在一起时,我们的成长是无限的。在不断演变的行业中,我们致力于对全球市场产生影响,而个人和团队的努力是我们成功的关键。

无论你在我们的物流中心、技术中心、公司办公室,甚至在家工作,你在iHerb的角色将超越预期,将挑战转化为改变。如果你准备好了,我们希望你加入我们的团队。立即开始吧。

职位概述:
高级工程师位于深度技术执行和广泛组织影响力之间的交集。该角色将解决最困难的架构问题,设定AI原生工程标准,并确保iHerb平台决策随时间推移而积累价值,而不是积累债务。该职位向工程副总裁汇报,与同级高级工程师、工程经理以及组织内其他同级副总裁密切合作。
该职位负责iHerb AI平台和GenAI产品体验的端到端技术战略。这包括面向用户AI层(健康助手、LLM驱动的推荐、基于目录和评论的RAG、生成内容)以及共享AI基础设施(RAG流程、评估框架、MLOps、防护措施、可观测性),使AI功能具备生产级质量和可重复性,适用于整个工程组织。
职位期望:

  • 定义并负责AI平台架构:检索基础设施、模型生命周期、评估框架、防护措施和GenAI产品功能设计。
  • 领导构建被所有AI产品功能使用的共享AI平台层,并可供内部业务团队重复使用。
  • 实战贡献者:构建生产级AI系统,编写概念验证,并通过实际软件验证架构。
  • 设定并执行AI平台团队的技术标准;推动架构评审和模型质量评审。
  • 与个性化团队协作,明确GenAI产品层与现有ML个性化之间的界限。
查看英文原文

For A Better You

At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we’ll empower you to live this promise each day as you make a truly global impact in your career.

We constantly strive for innovation, while transforming and improving the online shopping experience for our customers. We believe that individually we are incredible, but when we come together, our growth is infinite. In an industry that is constantly evolving, we are on a mission to make an impact on the global market, and the individual and collaborative efforts of our people are paramount to helping us succeed.

Whether you work in one of our logistics centers, technology hubs, corporate offices or even from home, your role at iHerb will take you beyond what’s expected, turning challenge into change. If you're ready for it, we want you to join our team. Get started now.

Job Summary:
The Principal Engineer operates at the intersection of deep technical execution and broad organizational influence. This role will resolve the hardest architectural questions, set the AI-native engineering bar, and ensure that iHerb's platform decisions compound over time rather than accumulate debt. Reporting to the VP of Engineering this role collaborates closely with peer Principals, Engineering Managers, and peer VPs across the organization.
This role owns the end-to-end technical strategy for iHerb's AI Platform and GenAI product experiences. This spans the user-facing AI layer (Wellness Agent, LLM-driven recommendations, RAG over catalog and reviews, generative content) and the shared AI infrastructure (RAG pipelines, evals framework, MLOps, guardrails, observability) that makes AI features production-grade and repeatable across the engineering organization.
Job Expectations:

  • Define and own the AI platform architecture: retrieval infrastructure, model lifecycle, evals framework, guardrails, and GenAI product feature design.
  • Lead the build of the shared AI platform layer consumed by all AI product features and reusable by internal business teams.
  • Hands-on contributor: build production AI systems, write proofs of concept, and validate architecture through working software.
  • Set and enforce technical standards for the AI Platform team; drive architecture reviews and model quality reviews.
  • Coordinate with the Personalization team to define clear boundaries between the GenAI product layer and existing ML personalization infrastructure.
  • Contribute AI platform-specific patterns and lessons into iHerb's shared AI-driven SDLC golden path.
  • Drive the hardest cross-cutting technical decisions across multiple teams and shared platform services.
  • Establish and evolve iHerb's AI-driven SDLC golden path: shared standards, Claude Code skills, guardrails, and automation patterns.
  • Lead complex multi-team technical efforts by coordinating architecture reviews, aligning peer Principals and EMs, and resolving competing approaches.
  • Mentor and raise the technical bar across the engineering organization through code review, architecture review, and direct coaching of senior engineers.
  • Represent engineering in cross-functional conversations with product, data science, security, and infrastructure.
  • Feed architectural decisions into the shared knowledge base so institutional knowledge compounds across the organization.

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.
Knowledge, Skills and Abilities:
Required:

  • AI-driven SDLC (required): demonstrated use of AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor to ship production systems. Can articulate workflow changes, quality tradeoffs, and guardrail strategies.
  • Architecture at scale: experience designing and evolving large-scale distributed systems across multiple teams and years: APIs, data pipelines, event-driven architectures, or high-traffic platforms.
  • Cross-org technical leadership: track record of driving architectural standards, technical roadmaps, or platform initiatives that span multiple teams or organizations.
  • Engineering quality mindset: deeply held opinions on code quality, observability, CI/CD, test automation, and maintaining velocity without accumulating hidden debt.
  • Communication and influence: able to write clear architecture documents, present to technical and non-technical audiences, and build consensus without formal authority.
  • Experience working in distributed teams across the US, China, and Latin America.
  • Production experience designing and operating AI platform systems: RAG pipelines, vector search, embedding infrastructure, or retrieval-augmented applications at scale.
  • Hands-on experience with LLM evaluation: building eval frameworks, defining quality metrics, and iterating on model and prompt quality using data.
  • MLOps experience: model deployment, monitoring, lifecycle management, and cost governance in a production environment.
  • Experience building and operating agentic systems using frameworks such as LangChain, LlamaIndex, or equivalent.
  • GenAI in production is required; prototype or research-only experience is not sufficient at this level.
  • High degree of accuracy and attention to detail
  • Excellent organization skills and ability to multi-task

Equipment Knowledge:

  • Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Experience Requirements:
Generally requires a minimum of 10+ years of software engineering experience, with a significant portion at senior, staff, or principal IC level.
Education Requirements:
Bachelor’s Degree in Computer Science or related field preferred, or a combination of education and equivalent work experience.
Judgment/Reasoning Ability: Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner.
Physical Demands: The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Work Environment: The noise in the work environment is usually moderate. Other factors are:

  • Hectic, fast-paced with multi-level distractions
  • Professional, yet casual work environment
  • Office / Warehouse environment
  • Ability to work extended hours as required

Compensation:
The expected salary range for this role is $204,000.00 - $260,000.00 USD. The actual base pay offered will be determined by factors such as the candidate's relevant experience, education, geographic location, and internal equity.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Staffing Agency Submission Notice
iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to . Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization.

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.
Originally posted on Himalayas

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iHerbCanada$204,000 - $260,000/年Full Time13 天前
开发工程限定地区(需当地身份)

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