AI Engineer, Forward Deployed (Copilot and Azure AI Foundry)
New
C
CollectivAI consulting
You must be physically located in the United States for the duration of the engagement.Full-TimeMiddle
Salary not disclosed
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Job Details
- 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
- Required Skills
- PythonC#Azure
Requirements
- 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, including storage, compute, identity, and networking.
- Ability to work independently in a client-facing consulting role.
Responsibilities
- Build declarative agents, Copilot connectors, plugins, and Copilot Studio agents for business processes.
- Connect Copilot to SharePoint, Teams, Microsoft Graph, Dataverse, and line-of-business systems.
- Build custom agents and AI applications in Azure AI Foundry, and select, deploy, and configure models.
- 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.
- Build retrieval-augmented generation pipelines, including ingestion, chunking, embedding, search, and grounding.
- Create evaluation sets and test harnesses, and 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.
- Gather requirements from client stakeholders, run working sessions, demonstrate progress, and train users and administrators.
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