Sr. Copilot AI Engineer

About the role

Bristol Myers Squibb is seeking a Senior Copilot AI Engineer to join our dynamic team. This role offers a unique opportunity to design, develop, and deploy custom AI/Copilot solutions using leading-edge technology platforms.

Responsibilities

• 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.
• Power Platform & M365 Engineering
• Develop automation workflows using AI 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

• 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.
• Practical experience with major AI/ML platforms including Microsoft Azure, AWS, and Google Cloud.
• 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

Pay

$139,570 - $169,126

Schedule

Flexible work arrangements may be available based on the role's requirements.