Copilot AI Engineer

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Design, build, and deploy custom Copilot agents using Microsoft Copilot Studio and Azure AI Foundry. Architect and implement AI solutions that integrate enterprise data, applications, and workflows across Microsoft 365, SharePoint, and Power Platform. Develop custom connectors, grounding data pipelines, and AI orchestration logic to extend Copilot capabilities. Leverage Azure OpenAI, Azure Cognitive Search, and Azure AI Services to deliver retrieval-augmented generation (RAG) based agent solutions. Build and optimize prompt flows, semantic memory, and contextual grounding for AI agents. Understand and implement agent-to-agent communication frameworks such as A2A and MCP Collaborate with business teams to identify use cases and translate them into scalable AI applications. Develop proofs of concept (POCs) and AI prototypes that demonstrate business value. Ensure compliance with Responsible AI, data security, and governance standards. Monitor, evaluate, and continuously improve the performance, accuracy, and usability of Copilot agents and AI solutions. Partner with Microsoft platform owners, data engineers, and solution architects to operationalize and scale AI initiatives. Qualifications & Experience Bachelor’s degree in computer science, AI/ML, Engineering, or related discipline  3–5 years of experience in AI solution development, Microsoft Cloud engineering, or automation platforms. Proven experience with: Microsoft Copilot Studio (Power Virtual Agents, conversational design, orchestration). Azure AI Foundry and Azure OpenAI (model deployment, prompt optimization, content grounding). Azure Cognitive Services (Search, Language, Vision, Speech, etc.). Microsoft Graph, SharePoint REST APIs, and Teams integrations. Power Platform (Power Automate, Power Apps, Power BI, Dataverse). Strong understanding of AI architecture patterns, including RAG, prompt chaining, and function calling. Understand and implement agent-to-agent communication frameworks such as A2A and MCP Experience with Python, C#, React or TypeScript for building integrations and APIs. Familiarity with vector databases and semantic search technologies. Excellent analytical, problem-solving, and communication skills. Ability to collaborate with business stakeholders to translate needs into AI-powered Copilot experiences. Experience building Copilot extensions, Graph connectors, and custom copilots for enterprise workflows. Knowledge of Responsible AI principles, prompt evaluation, and AI governance frameworks. Familiarity with MLOps, Azure AI Studio, Azure Dev Ops and model lifecycle management. We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway. How We Work Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable