Copilot AI Engineer

Role Overview

At Bristol Myers Squibb, our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We are seeking a Copilot AI Engineer to design, build, and deploy custom Copilot agents that transform enterprise workflows and deliver meaningful business value through advanced AI orchestration.

Responsibilities

• Design, build, and deploy custom Copilot agents using Microsoft Copilot Studio and Azure AI Foundry.
• Architect and implement AI solutions integrating enterprise data across Microsoft 365, SharePoint, and Power Platform.
• Develop custom connectors, grounding data pipelines, and AI orchestration logic.
• Leverage Azure OpenAI, Azure Cognitive Search, and Azure AI Services for retrieval-augmented generation (RAG) solutions.
• Build and optimize prompt flows, semantic memory, and contextual grounding.
• Implement agent-to-agent communication frameworks such as A2A and MCP.
• Collaborate with business teams to translate use cases into scalable AI applications and prototypes.
• Ensure compliance with Responsible AI, data security, and governance standards.
• Monitor and improve the performance and accuracy of AI solutions.

Requirements

• Bachelor’s degree in Computer Science, AI/ML, Engineering, or a related discipline.
• 3–5 years of experience in AI solution development or Microsoft Cloud engineering.
• Proven experience with Microsoft Copilot Studio, Azure AI Foundry, and Azure OpenAI.
• Experience with Azure Cognitive Services, Microsoft Graph, and SharePoint REST APIs.
• Proficiency in Power Platform (Power Automate, Power Apps, Power BI, Dataverse).
• Strong understanding of AI architecture patterns including RAG, prompt chaining, and function calling.
• Experience with Python, C#, React, or TypeScript for building integrations and APIs.
• Familiarity with vector databases, semantic search, MLOps, and Azure DevOps.

Skills

• Azure OpenAI
• Python
• React
• Microsoft Copilot Studio
• TypeScript