Senior Copilot Engineer

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Challenging. Meaningful. Life‑changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high‑achieving teams.

Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

• Design, develop, and deploy custom AI / Copilot solutions using Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and AWS AI/ML services.
• Build RAG pipelines with vector databases, embeddings, and contextual grounding strategies.
• Develop and integrate AI Search capabilities using Azure AI Search, AWS Kendra, or Elasticsearch to power intelligent retrieval and semantic grounding.
• Implement grounding, semantic reasoning, and conversational orchestration using Azure Cognitive Search, custom APIs, and multi‑cloud pipelines.
• Build Power Apps, including model‑driven and canvas applications.
• Develop automation workflows using Power Automate (Flows) integrated with AI and enterprise data sources.
• Design and implement SPFx solutions (web parts, extensions) integrated with Copilot Studio and Power Platform components.
• Integrate copilots and AI‑driven features with SharePoint, Teams, Power Apps, and other Microsoft 365 services.
• Create custom connectors for Power Platform to extend AI and Copilot capabilities across enterprise services.
• Provide technical leadership on AI/LLM architecture, prompt engineering, semantic search, and multi‑cloud solution engineering.
• Support 3rd‑level LLM model development, optimization, and registration for enterprise platforms.
• Participate in AI/ML audits and compliance reviews across global environments.
• Apply engineering best practices for Copilot, AI, Power Platform, and cloud solution development, testing, deployment, and governance.
• Collaborate with business stakeholders to identify AI/Copilot and automation opportunities, validate use cases, and translate requirements into technical solutions.
• Deliver POCs, pilots, and scalable enterprise implementations across Azure and AWS.
• Ensure all solutions meet enterprise security, privacy, compliance, and Responsible AI standards.
• Manage engineering tasks across multiple initiatives while maintaining high‑quality deliverables.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5–8 years of experience in AI/ML engineering, cloud development, or enterprise solution delivery.
• 6–8 years of hands‑on Microsoft Power Platform development experience.
• Practical experience with major AI/ML platforms including Microsoft Azure, AWS, and Google Cloud.
• Strong background developing solutions in regulated or large‑scale enterprise environments.
• Deep expertise across the Microsoft 365 ecosystem:
  Azure, SharePoint, Teams, Purview, Defender, and Power Platform.
• Hands‑on experience with Microsoft Copilot Studio (prompt flows, orchestration, connectors).
• Experience with Azure AI Foundry / Azure OpenAI, including prompt engineering, grounding, and model deployments.
• Extensive experience with Power Apps, Power Automate, and custom Power Platform connectors.
• Proficiency in SPFx (SharePoint Framework) development and Microsoft Graph integrations.
• Strong working knowledge of AI search technologies such as Azure Cognitive Search, AWS Kendra, and Elasticsearch.
• Experience building cloud‑native AI workflows with Azure Functions, AWS Lambda, and modern orchestration patterns.
• Strong understanding of RAG architectures, vector databases, semantic search, and contextual…