[OWD] 高级 Palantir 数据/人工智能工程师
[OWD] Senior Palantir Data / AI Engineer
职位描述
我们正在为一家全球咨询客户组建一支高级团队，该客户正在快速构建和部署企业级AI解决方案。你将在一个小型交付小组中工作，将业务问题从想法转化为在Palantir Foundry和AIP上的生产系统。你还将是小组中帮助其他工程师熟悉平台的负责人。
职责内容
· 构建和管理Foundry数据管道、本体组件和应用程序
· 使用Palantir的本体设计语义和上下文层：Object、Link和Action Types，Interfaces，Property Sets
· 使用AIP Logic、AIP Automate和AIP Assist构建LLM驱动的工作流程
· 将代理AI用例从原型转化为生产环境：构建、测试、部署、监控
· 在小组中作为Palantir的专家，通过配对编程、代码审查和指导同事来支持团队
我们寻找的人选
· 在真实客户或生产项目中拥有实际操作Palantir Foundry和/或AIP的经验
· 在代理或GenAI应用的多个生命周期阶段（实验、开发、测试、生产、监控）中拥有实际操作经验
· 有构建可重用代理技能、工具或组件的经验，这些组件可以支持多个用例
· 强大的软件工程和解决问题的能力
· 有将AI与企业数据源、API和业务系统集成的经验
· 在结构化和非结构化数据方面有扎实的数据工程背景
· 能够适应快速交付周期和不断变化的需求
· 英语流利，能够与技术人员和业务人员清晰沟通
· 能够在EST商务办公时间工作
加分项
· 在Palantir内部部署过解决方案到生产环境
· Ontology Linter、数据血缘、CBAC、Foundry Marketplace
· 语义层、本体或知识图谱（Azure、AWS、GCP、Palantir或Databricks）
· Azure、Azure AI Foundry、Databricks / Genie
· 使用GitHub的CI/CD，DevOps / DevSecOps工具链
· 有从OpenAI、Anthropic或其他LLM供应商部署模型的经验，包括模型选择和成本优化
查看英文原文
About the role
We're putting together a senior team for a global consulting client that is building and deploying enterprise AI solutions at a fast pace. You'll work in a small delivery pod, taking business problems from idea to production on Palantir Foundry and AIP. You'll also be the person in your pod who helps other engineers get productive on the platform.
What you'll do
· Build and manage Foundry data pipelines, ontology components, and applications
· Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets
· Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist
· Take agentic AI use cases from prototype to production: build, test, deploy, monitor
· Act as the Palantir go-to within your pod by pairing, reviewing, and coaching teammates
What we're looking for
· Hands-on Palantir Foundry and/or AIP experience on real client or production projects
· Hands-on experience building agentic or GenAI applications, across several stages of the lifecycle (experimentation, development, testing, production, monitoring)
· Experience building reusable agent skills, tools, or components that support multiple use cases
· Strong software engineering and problem-solving skills
· Experience integrating AI with enterprise data sources, APIs, and business systems
· Solid data engineering background across structured and unstructured data
· Comfortable with fast delivery cycles and requirements that change
· Strong English and clear communication with both technical and business people
· Able to work EST business hours
Nice to have
· Solutions deployed to production inside Palantir
· Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
· Semantic layers, ontologies, or knowledge graphs (Azure, AWS, GCP, Palantir, or Databricks)
· Azure, Azure AI Foundry, Databricks / Genie
· CI/CD with GitHub, DevOps / DevSecOps tooling
· Experience deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization