人工智能自动化工程师/开发工程师
AI Automation Engineer / Developer
Adventus 是一家信息和通信技术（ICT）解决方案和服务提供商，在全球范围内拥有广泛的业务覆盖。
我们通过利用创新解决方案和相关服务的智能应用，帮助组织实现积极的业务转型，使其在当今高度竞争的市场中保持领先地位。
凭借强大的技术合作伙伴网络、卓越的行业专业知识和差异化的价值主张，我们能够超越客户期望，为客户提供超出预期的服务。
职位描述
我们正在寻找一名 AI 自动化工程师/开发者，负责设计、构建和部署 AI 代理，以自动化企业工作流程和业务流程。该职位将专注于将 AI 能力与 Microsoft Dynamics 365、SAP、ServiceNow、Microsoft Azure 和 Microsoft Copilot 等平台集成，以提高运营效率、减少人工操作并增强决策能力。理想的候选人应具备开发 AI/LLM 驱动应用程序、工作流自动化、API 集成和企业系统编排的实际经验。
主要职责
- 设计、开发和部署 AI 代理，以自动化组织内的业务流程和操作流程。
- 构建 AI 代理与企业平台（包括 Microsoft Dynamics 365、SAP 和 ServiceNow）之间的集成。
- 使用平台 API 和接口（如 Dataverse Web API 和 Power Platform（Dynamics 365）、OData/BAPI/RFC/IDoc 和 SAP BTP（SAP），以及 ServiceNow REST API）开发集成。
- 开发基于 AI 的工作流编排、工单分类、知识检索、报告和流程自动化解决方案。
- 构建和扩展 Microsoft Copilot 功能（Copilot Studio、自定义 Copilot、插件/连接器），将 AI 协助引入日常业务工具中。
- 在 Microsoft Azure 上创建和维护 API、自动化脚本和基于云的 AI 服务（例如 Azure OpenAI、Azure AI Services、Azure Functions、Logic Apps）。
- 实现提示工程、RAG 流水线、工具集成和多代理工作流。
- 应用 LLM 和 AI 模型来自动化任务，如文档处理、从非结构化来源提取数据，以及对企业数据进行自然语言查询，以支持决策。
- 使用中间件/iPaaS 平台将 AI API 和编排工具集成到现有的企业架构中。
- 与业务和 IT 利益相关者协作
查看英文原文
Adventus is an Information and Communications Technology (ICT) Solutions and Services Provider with a wide footprint across the globe.
We help organizations bring about positive transformation to their businesses by leveraging intelligent applications of innovative solutions and pertinent services to remain winners in today's ultra competitive marketplace.
With our strong network of technology partners, excellent domain expertise and differentiated value proposition, we are able to go above and beyond for our customers, far exceeding expectations.
About the Role
We are seeking an AI Automation Engineer / Developer to design, build, and deploy AI agents that automate enterprise workflows and business processes across the organization. This role will focus on integrating AI capabilities with platforms such as Microsoft Dynamics 365, SAP, ServiceNow, Microsoft Azure, and Microsoft Copilot to improve operational efficiency, reduce manual work, and enhance decision-making. The ideal candidate has hands-on experience developing AI/LLM-powered applications, workflow automation, API integrations, and enterprise system orchestration.
Key Responsibilities
- Design, develop, and deploy AI agents to automate business processes and operational workflows across the organization.
- Build integrations between AI agents and enterprise platforms, including Microsoft Dynamics 365, SAP, and ServiceNow.
- Develop integrations using platform APIs and interfaces such as Dataverse Web API and Power Platform (Dynamics 365), OData/BAPI/RFC/IDoc and SAP BTP (SAP), and ServiceNow REST APIs.
- Develop AI-powered solutions for workflow orchestration, ticket triaging, knowledge retrieval, reporting, and process automation.
- Build and extend Microsoft Copilot capabilities (Copilot Studio, custom copilots, plugins/connectors) to bring AI assistance into everyday business tools.
- Create and maintain APIs, automation scripts, and cloud-based AI services on Microsoft Azure (e.g., Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps).
- Implement prompt engineering, RAG pipelines, tool integrations, and multi-agent workflows.
- Apply LLMs and AI models to automate tasks such as document processing, data extraction from unstructured sources, and natural-language querying of enterprise data to support decision-making.
- Integrate AI APIs and orchestration tools into existing enterprise architecture using middleware/iPaaS platforms.
- Collaborate with business and IT stakeholders to identify and implement automation opportunities.
- Ensure AI solutions meet security, governance, and compliance standards.
- Monitor, optimize, and maintain AI agent performance and reliability.
- Document architectures, workflows, and integration specifications.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 2-5 years of experience in software engineering, AI/automation development, or enterprise system integration.
- Proven experience designing, building, and deploying AI agents or LLM-powered applications for business process automation.
- Hands-on experience with prompt engineering, RAG pipelines, tool/function calling, and multi-agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar).
- Experience integrating AI solutions with enterprise platforms such as Microsoft Dynamics 365 (Dataverse, Power Platform), SAP (OData, BAPI/RFC, IDoc, SAP BTP), or ServiceNow (REST APIs).
- Working knowledge of Microsoft Azure for deploying and operating AI services (Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, or similar).
- Familiarity with Microsoft Copilot and Copilot Studio for building or extending AI assistants.
- Strong programming skills in Python and/or C#/.NET; ability to build and maintain APIs, automation scripts, and cloud-based services.
- Experience developing AI-powered solutions such as workflow orchestration, ticket triaging, knowledge retrieval, or automated reporting.
- Familiarity with middleware/iPaaS and automation tools (Power Automate, SAP Integration Suite, Logic Apps, MuleSoft, n8n, or similar).
- Understanding of security, governance, and compliance requirements for AI solutions handling enterprise data.
- Experience monitoring, testing, and optimizing production systems for performance and reliability.
- Strong communication skills and ability to collaborate with business and IT stakeholders to translate process requirements into technical solutions.
Preferred Qualifications
- Experience with vector databases (e.g., Azure AI Search) and intelligent document processing.
- Familiarity with SAP AI offerings (Joule, SAP AI Core) or ServiceNow AI capabilities (Now Assist).
- Experience with agent observability, evaluation frameworks, or LLMOps practices.
- Microsoft certifications (e.g., Azure AI Engineer Associate, Power Platform Developer) a plus.
Originally posted on Himalayas