人工智能平台工程师（全球）
AI Platform Engineer (Global)
关于Accelerant
Accelerant是一个以数据驱动的风险交易所，将特种保险风险的承保人与风险资本提供者连接起来。Accelerant由一群长期从事保险行业的高管和技术专家于2018年创立，他们有一个共同的愿景，即重新构建风险交换的方式——让其对每个人都能更高效地运作。Accelerant风险交易所业务覆盖超过20个不同的国家和250种特种产品，我们自豪地了解到我们的保险公司获得了AM Best A-（优秀）评级。如需更多信息，请访问。
职位概述
AI平台工程师是一个高级、亲力亲为的技术领导者，负责构建生产环境的AI代理、可重用的AI组件以及跨组织的AI实施方案。
该职位会与各个小组、AI协会和AI驱动的开发项目合作，将AI战略转化为实际且可扩展的解决方案。
核心职责
- 构建生产环境的AI代理和服务
- 开发可重用的AI组件和工作流程
- 原型设计和生产化AI使用场景
- 支持开发团队进行AI实施方案
- 与合规和ARX PS团队协作
- 与DevOps共同拥有AI工作流环境（例如n8n）
- 与AI平台架构师一起参与AI模式开发
- 维护参考实施方案
- 提升AI的可靠性和可观测性
- 设计和实现检索增强生成（RAG）管道
- 实现提示管理、版本控制和评估工具
- 建立AI可观测性、监控和成本跟踪实践
运营模式
- 与AI平台架构师紧密合作
- 直接与开发团队互动
- 为AI驱动的开发项目提供现场支持
- 通过实施反馈参与AI标准的演进
所需经验
- 6–8年以上软件工程经验
- 具有生产环境AI实施方案经验
- 具有LLM集成经验
- 具有提示工程专业知识
- 具有构建代理或AI工作流的经验
- 具有向量数据库和API编排经验
- 强大的系统思维能力
地点：远程灵活
最初发布于Himalayas
查看英文原文
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .
Role Summary
The AI Platform Engineer is a senior, hands-on technical leader responsible for building production AI agents, reusable AI components, and cross-organizational AI implementations.
This role works across squads, AI Guilds, and AI driven development initiatives to translate AI strategy into practical, scalable solutions.
Core Responsibilities
- Build production AI agents and services
- Develop reusable AI components and workflows
- Prototype and productionize AI use cases
- Support development teams on AI implementations
- Collaborate with Compliance and ARX PS teams
- Co-own AI workflow environments (e.g., n8n) with DevOps
- Contribute to AI pattern development alongside AI Platform Architect
- Maintain reference implementations
- Improve AI reliability and observability
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Implement prompt management, versioning, and evaluation tooling.
- Establish AI observability, monitoring, and cost tracking practices.
Operating Model
- Works in close partnership with AI Platform Architect
- Engages directly with development teams
- Provides hands-on support for AI-driven Development initiatives
- Contributes to AI standards evolution through implementation feedback
Required Experience
- 6–8+ years software engineering experience
- Production AI implementation experience
- LLM integration experience
- Prompt engineering expertise
- Experience building agents or AI workflows
- Experience with vector databases and API orchestration
- Strong systems thinking
Location: Remote Flexible
Originally posted on Himalayas