远程工作雷达

高级工程师,AI

Principal Engineer, AI

AI开发工程限定地区(需当地身份)
公司anaplan
薪资未公开
工作地点Pennsylvania-Remote, United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-06-05
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Pennsylvania-Remote, United States 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。

在Anaplan,我们是一支致力于通过我们领先的AI融合情景规划和分析平台优化商业决策的创新者团队,让我们的客户能够超越竞争对手和市场。

跨越不同团队和地区的Anaplanners共同致力于客户的成功和我们的胜利文化。

我们的客户包括财富500强中的佼佼者。可口可乐、领英、Adobe、LVMH和拜耳只是2400多家全球公司中的一部分,他们依赖于我们的一流平台。

我们的胜利文化是推动我们创新者团队前进的引擎。我们推崇思想和创意的多样性,无论职位如何都像领导者一样行事,我们致力于实现雄心勃勃的目标,并且热爱庆祝我们的胜利——无论大小。

在这里,您将受到以战略为导向、以价值观为基础并注重执行纪律的运营原则的支撑。您将获得启发、连接、成长和回报;您的一切独特之处都将被欢迎;加入我们,一起打造未来!

我们正在寻找一位AI首席工程师,能够在Anaplan AI应用的整个技术栈上工作,从模型集成和提示工程到构建直观的用户界面。您将构建可投入生产的AI功能,使业务用户能够在他们的规划流程中利用GenAI的力量,这需要深厚的机器学习知识和强大的软件工程技能。

您的影响

  • 领导可扩展的生成式AI和机器学习系统的架构、设计和部署到生产环境。
  • 开发端到端的GenAI功能,包括后端API服务、模型集成、模型监控、评估和部署。
  • 为特定的业务规划用例集成和优化LLMs,包括提示工程和RAG实现。
  • 构建对话界面和代理工作流,使复杂的规划任务通过自然语言变得易于使用。
  • 实现评估框架来衡量和改进GenAI功能的质量,包括准确性、延迟和用户满意度指标。
  • 设计和开发将AI功能暴露给Anaplan平台和第三方集成的API。
  • 优化模型推理流程,在生产环境中实现性能、成本和可扩展性的优化。
  • 为GenAI系统实现监控、日志记录和可观测性,以跟踪使用情况、错误和模型行为。
  • 与数据科学家合作,生产高质量的模型和解决方案。
查看英文原文

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We're seeking a Principal Engineer, AI who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.

Your Impact

  • Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments.
  • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
  • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation.
  • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
  • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
  • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
  • Optimize model inference pipelines for performance, cost, and scalability in production environments
  • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior.
  • Collaborate with data scientists to productionise ML models and forecasting algorithms

Your Qualifications

  • Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains.
  • End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments.
  • Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
  • Experience in fine-tuning LLMs for domain-specific enterprise applications.
  • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
  • Experience with agentic frameworks and autonomous agent architectures.
  • Proficiency in Python and modern software development practices (testing, code review, CI/CD).
  • Proven track record of delivering complex technical projects on time with high quality

Desirable

  • Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field
  • Hands-on experience with cloud-native ML infrastructure platforms
  • Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
  • Experience with model serving frameworks (vLLM, TensorRT, Ray)
  • Experience with A/B testing and experimentation frameworks for AI features
  • Contributions to open-source ML projects or research publications
  • Experience with model observability tools (LangSmith, W&B, MLflow)

#LI-SP1
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:

  • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
  • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.

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