Sr. Copilot AI Engineer

Working with Us
Challenging. Meaningful. Life-changing. Those arent 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. Youll 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. Read more: Responsibilities

AI & Copilot Engineering

• 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 integrateAI Searchcapabilities 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.

Power Platform & M365 Engineering

• Develop automation workflows usingAI Workflows with enterprise data sources.

• 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.

Cloud Architecture & Governance

• 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.

Required Qualifications

• Bachelors or Masters degree in Computer Science Engineering or a related field.
• 58 years of experience in AI/ML engineering cloud development or enterprise solution delivery.
• 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.
• 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 grounding.
• Proficiency in Python C# React or TypeScript for custom development and integration.
• Familiarity with Responsible AI practices MLOps and end-to-end AI lifecycle management.
• Experience developing enterprise copilots plugins and extensibility solutions for Microsoft 365 and Power Platform.
• Excellent communication and stakeholder engagement skills.

Key Competencies

• AI/LLM Engineering & Solution Design

• Power Platform & SPFx Development

• Multi-Cloud (Azure AWS) Architecture

• RAG & AI Search Integration

• Technical Leadership & Innovation

• Stakeholder Collaboration & Communication

• Strategic Problem Solving & Delivery Excellence