AI Engineer, Forward Deployed (Copilot and Azure AI Foundry)
角色概述 AI 工程师是一个直接与客户团队合作设计,构建和运输在微软365Copilot,Copy Pilot Studio 和 AzureAI Foundry (现在的 Microsoft Foundry)上生产人工智能解决方案的人工开发人员。这是一个个人的贡献者角色。你将编写代码,配置代理人,线索数据并把解决方案交给真正用户。你将与项目负责人,建筑师和数据工程师一起工作。你将直接与客戶公司和 IT 利益相关方合作,将业务问题转化为有效的人工智能解決方案,然后使其变得更强大。· 建立声明代理,Copyilot 连接器和插件,将 Microsoft 365 Copilot 扩展到客户端数据和工作流程中 ·为业务进程构建 Copilot Studio 代理,主题,操作和自动代理 ·与 SharePoint,Teams,Microsoft Graph,Dataverse 以及行业系统连接 Copyilot ·基于测试结果和用户反的提示,说明和代理配置进行编写和重复 ·在 Azure AI Foundry 解决方案中创建定制代理和 AI 应用程序,用于超出 Fundry 模型的使用案例 ·从 Foundry 模型目录中选择,部署和配置模型,并解释成本,质量和延迟方面的折衷 · 通过工具调用,多步骤编排和人-in-the-loop 控制实现代理工作流程 · 通过 API,Azure Functions,Power Automate 和 Logic Apps 检索和数据基础与企业系统集成 AI 解决方案 · 建立端到端的检索增强生成 (RAG) 管道包括摄入,零碎,嵌入,矢量和混合搜索以及地面化 · 使用 Azure AI 搜索和 Azure AI 文档智能识别来索引并从客户端内容中提取知识 · 与集体数据工程师合作,将人工智能解决方案连接到微软织品,数据片和其他企业数据平台评估和生产准备 · 建立评估集和测试器,以衡量答案质量,基础性,幻觉率,安全性,延迟度和成本 · 对部署的代理人和模型进行记录,监控和追踪 · 使用微软 Entra ID,微软 Purview 和 AzureAI 内容安全应用安全,身份和治理控制 · 用版本控制,CI/CD 以及对所有人工智能解决方案代码检查标准来实现
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Role Overview
The AI Engineer is a hands-on builder who works directly with Client teams to design, build, and ship production AI solutions on Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry (now Microsoft Foundry). This is an individual contributor role. You will write the code, configure the agents, wire up the data, and get solutions into the hands of real users.
You will work inside a Collectiv delivery team alongside a project lead, architects, and data engineers. You will partner directly with Client business and IT stakeholders to turn a business problem into a working AI solution, then harden it for production.
Key Responsibilities
Copilot Solutions
- Build declarative agents, Copilot connectors, and plugins that extend Microsoft 365 Copilot with Client data and workflows
- Build Copilot Studio agents, topics, actions, and autonomous agents for business processes
- Connect Copilot to SharePoint, Teams, Microsoft Graph, Dataverse, and line-of-business systems
- Write and iterate on prompts, instructions, and agent configurations based on test results and user feedback
Azure AI Foundry Solutions
- Build custom agents and AI applications in Azure AI Foundry for use cases that go beyond out-of-the-box Copilot
- Select, deploy, and configure models from the Foundry model catalog, and explain the trade-offs in cost, quality, and latency
- Implement agentic workflows with tool calling, multi-step orchestration, and human-in-the-loop controls
- Integrate AI solutions with enterprise systems through APIs, Azure Functions, Power Automate, and Logic Apps
Retrieval and Data Foundations
- Build end-to-end retrieval-augmented generation (RAG) pipelines including ingestion, chunking, embedding, vector and hybrid search, and grounding
- Use Azure AI Search and Azure AI Document Intelligence to index and extract knowledge from Client content
- Partner with Collectiv data engineers to connect AI solutions to Microsoft Fabric, Databricks, and other enterprise data platforms
Evaluation and Production Readiness
- Build evaluation sets and test harnesses that measure answer quality, groundedness, hallucination rate, safety, latency, and cost
- Implement logging, monitoring, and tracing for deployed agents and models
- Apply security, identity, and governance controls using Microsoft Entra ID, Microsoft Purview, and Azure AI Content Safety
- Use version control, CI/CD, and code review standards for all AI solution code and configuration
Consulting and Collaboration
- Work directly with Client stakeholders to gather requirements, run working sessions, demo progress, and manage expectations
- Translate business problems into scoped, buildable AI use cases with clear success metrics
- Train Client users and administrators on the solutions you build and support adoption after go-live
- Contribute reusable patterns, accelerators, and documentation to Collectiv's AI practice
Eligibility for this engagement
- This engagement requires US citizenship under the client's contract terms. This is a condition of the specific client project, not a Collectiv policy; Collectiv regularly hires non-US citizens and people based outside the US for other roles.
- You must be physically located in the United States for the duration of the engagement.
- If you do not meet these two conditions, please still apply: we will keep your application active for AI Engineer roles that do not carry this requirement and contact you directly when one opens.
Required Qualifications
- Bachelor's degree from an accredited university in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
- 4+ years of experience in software engineering, data engineering, or Microsoft 365 and Power Platform development
- 1+ years of hands-on experience building and deploying generative AI or LLM-powered solutions in production or Client environments
- Hands-on experience with Microsoft 365 Copilot extensibility and Copilot Studio
- Hands-on experience with Azure AI Foundry or Azure OpenAI
- Experience building RAG solutions with Azure AI Search
- Strong Python or C# skills
- Experience working in Azure (storage, compute, identity, networking)
- Ability to work independently in a Client-facing consulting role
Preferred Qualifications
- Experience with Microsoft Agent Framework, Semantic Kernel, or AutoGen
- Experience with Power Platform, Dataverse, and Power Automate
- Experience with Microsoft Fabric, Databricks, or Power BI
- Experience with LLMOps practices including evaluation frameworks, prompt management, and model monitoring
- Familiarity with security, privacy, and compliance considerations for AI in regulated industries
- Consulting experience across multiple Clients or industries
- Relevant certifications such as Azure AI Engineer Associate, Copilot Studio or Power Platform certifications, or Fabric (DP-600, DP-700)
What Success Looks Like in This Role
- AI solutions you build reach production and are used by real people, not just demoed
- Clients trust you as the engineer who knows how to make Copilot and Foundry work in their environment
- Your solutions are measured, documented, secure, and supportable after handoff
- You contribute patterns and accelerators that make Collectiv's next AI engagement faster
Why Collectiv
Join Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team Experiences and competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success.
Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft data stack.
Our mission at Collectiv is simple: We help enterprises break free from stagnation and make better decisions.
Our Core Values:
- Growth Mindset: Bring solutions, not problems.
- Excel with Humility: Be humbly brilliant.
- Communicate Actively and Empathetically: Listen, ask, understand, help.
- Work Hard, Play Hard: Results are proportional to effort.
- Keep Calm and Carry On: Stay cool, calm, and Collectiv.
Originally posted on Himalayas