Sr. Copilot AI Engineer

Bristol Myers Squibb•Princeton, NJ

23h•Hybrid

About The Position

Bristol Myers Squibb is seeking a Sr. Copilot AI Engineer to design, develop, and deploy custom AI/Copilot solutions. This role involves working with Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and AWS AI/ML services, building RAG pipelines, and integrating AI Search capabilities. The engineer will also develop automation workflows, integrate copilots with Microsoft 365 services, and provide technical leadership on AI/LLM architecture and governance. The position requires collaboration with business stakeholders to identify opportunities and deliver Proofs of Concept (POCs), pilots, and scalable enterprise implementations, ensuring all solutions meet enterprise security, privacy, compliance, and Responsible AI standards.

Requirements

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.
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.

Nice To Haves

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.

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.
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.
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.

Benefits

Medical, pharmacy, dental, and vision care.
BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Flexible time off (unlimited, with manager approval) for US Exempt Employees.
11 paid national holidays (with exceptions).
160 hours annual paid vacation for new hires in Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees.
11 national holidays, and 3 optional holidays for Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees.
Unlimited paid sick time (based on eligibility).
Up to 2 paid volunteer days per year.
Summer hours flexibility.
Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs.
Annual Global Shutdown between Christmas and New Years Day.