#132210 - AI平台技术负责人
#132210 - AI Platform Technical Lead
我们正在寻找一位具备动手能力的AI平台技术负责人，负责一个通用型、AI赋能的企业协作生态系统的建设。该职位将设计、构建、集成、运营和优化生产环境中的AI代理、可重用技能、工作流、搜索功能以及企业AI平台集成。
理想的候选人应具备深厚的AI工程经验，并拥有实际的企业平台和系统管理知识。这是一个需要亲自参与的技术负责人角色，没有直接下属。您将通过技术专长和影响力来领导，包括建立标准、指导其他贡献者、审查技术方案，并作为高级问题解决人员。
有企业经验者优先。
主要职责
* 设计、构建、测试、部署并维护高质量的AI代理、技能、提示、工具、工作流、助手和自动化。
* 使用Model Context Protocol (MCP)、函数调用、API、代理框架和集成技术构建AI解决方案。
* 将业务需求转化为技术设计、原型和稳定可用的AI能力。
* 构建跨协作、生产力、搜索、AI助手和企业系统的安全集成。
* 开发API、数据连接器、webhooks、搜索集成、检索增强生成解决方案和语义搜索功能。
* 确保AI系统保留源系统的权限、访问控制、数据安全要求和治理策略。
* 设计并评估AI应用的根基、引用、记忆、检索和上下文管理方法。
* 测试并评估AI解决方案的质量、可靠性、安全性、性能、根基性和生产就绪性。
* 管理和优化企业AI平台，包括访问、配置、集成、监控和生命周期管理。
* 解决复杂的AI平台、集成、连接器、身份验证、搜索和数据检索问题。
* 建立AI代理、集成、配置、测试、部署和安全方面的可重用技术标准和模式。
* 领导技术方案评审，为其他管理员和工程师提供技术指导和培训。
* 作为复杂AI平台和集成问题的高级技术解决人员。
* 评估新兴AI能力，并向平台领导层提供技术建议。
必备条件
查看英文原文
We are seeking a hands-on AI Platform Technical Lead to serve as the technical owner for a general-purpose, AI-enabled enterprise collaboration ecosystem. This role will design, build, integrate, operate, and improve production AI agents, reusable skills, workflows, search capabilities, and enterprise AI platform integrations.
The ideal candidate combines deep applied AI engineering experience with practical enterprise platform and systems-administration knowledge. This is a hands-on individual contributor leadership role with no direct reports. You will lead through technical expertise and influence by establishing standards, mentoring other contributors, reviewing technical solutions, and serving as a senior escalation point.
Enterprise experience strongly preferred.
Key Responsibilities
* Design, build, test, deploy, and maintain production-quality AI agents, skills, prompts, tools, workflows, assistants, and automations.
* Build AI solutions using Model Context Protocol (MCP), function calling, APIs, agent frameworks, and integration technologies.
* Translate business requirements into technical designs, prototypes, and stable production-ready AI capabilities.
* Build secure integrations across collaboration, productivity, search, AI assistant, and enterprise systems.
* Develop APIs, data connectors, webhooks, search integrations, retrieval-augmented generation solutions, and semantic-search capabilities.
* Ensure AI systems preserve source-system permissions, access controls, data-security requirements, and governance policies.
* Design and evaluate grounding, citation, memory, retrieval, and context-management approaches for AI applications.
* Test and evaluate AI solutions for quality, reliability, safety, performance, grounding, and production readiness.
* Administer and optimize enterprise AI platforms, including access, configuration, integrations, monitoring, and lifecycle management.
* Troubleshoot complex AI platform, integration, connector, identity, search, and data-retrieval issues.
* Establish reusable technical standards and patterns for AI agents, integrations, configurations, testing, deployment, and security.
* Lead technical solution reviews and provide technical guidance and mentoring to other administrators and engineers.
* Serve as a senior technical escalation point for complex AI platform and integration issues.
* Evaluate emerging AI capabilities and provide technical recommendations to platform leadership.
Must-Have Skills
* Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations.
* Strong understanding of AI application concepts including agents and agentic workflows, skills and tools, function calling, Model Context Protocol, prompt and context design, retrieval-augmented generation, enterprise search, and data connectors.
* Strong understanding of grounding, citations, memory, context management, model and agent evaluation, AI safety, and access controls.
* Proven ability to move AI solutions from proof of concept to stable, supportable production services.
* Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms.
* Working knowledge of enterprise security, privacy, compliance, and data-governance principles.
* Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms.
* Practical experience with several enterprise collaboration and AI platforms such as Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products.
* Strong systems-administration knowledge including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management.
* Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills.
* Ability to lead technically through expertise and influence without direct people-management authority.
Nice-to-Have Skills
* Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers.
* Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability.
* Software development experience with Python, TypeScript, JavaScript, or similar languages.
* Experience creating MCP servers or integrating MCP-compatible clients and tools.
* Experience operating an enterprise AI platform or supporting an internal AI enablement program.
* Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies.
Required Tools & Platforms
* Practical experience with several of the following or comparable enterprise products: Slack, Google Workspace, Gemini for Workspace, Glean, Claude, and ChatGPT.
* Hands-on experience with AI integration patterns involving MCP, function calling, APIs, SDKs, webhooks, enterprise search, data connectors, and identity services.
Location, Time & Engagement
* Remote contract engagement.
* Candidates must be located in the United States or LATAM, excluding Mexico.
* Central Time working-hour overlap is preferred.
* Full-time allocation of approximately 40 hours per week.
* Expected engagement through March 31, 2027.
* This is an individual contributor technical leadership role with no direct reports.