Bristol-Myers Squibb
Working with Us
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. Read more: careers.bms.com/working-with-us
We are seeking a
Senior Copilot Engineer
to design, develop, and deploy advanced AI, Copilot, and intelligent automation solutions using
Microsoft Copilot Studio ,
Power Platform, Azure AI Foundry , and
AWS cloud technologies . This role requires strong engineering skills, hands‑on solution delivery, and cross‑functional collaboration to build enterprise‑grade copilots, AI search capabilities, and integrated productivity applications.
The ideal candidate will have deep experience in AI engineering, Power Platform development, and Microsoft 365 extensibility, along with the ability to translate business needs into scalable, secure, and compliant AI‑driven solutions.
Key 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 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
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.
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.
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 grounding.
Proficiency in Python, C#, 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
Compensation Overview Princeton – NJ – US: $139,570 – $169,126. The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Equal Employment Opportunity Statement BMS is committed to providing individuals with equal opportunities in employment and to creating a workplace free from discrimination. We do not discriminate on the basis of race, color, religion, sex, age, national origin, disability, or any other protected status. Disadvantaged and veterans are encouraged to apply. BMS supports people with disabilities through accommodations and adjustments during recruitment, assessment, and employment.
Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Data Protection We will not request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
#J-18808-Ljbffr
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. Read more: careers.bms.com/working-with-us
We are seeking a
Senior Copilot Engineer
to design, develop, and deploy advanced AI, Copilot, and intelligent automation solutions using
Microsoft Copilot Studio ,
Power Platform, Azure AI Foundry , and
AWS cloud technologies . This role requires strong engineering skills, hands‑on solution delivery, and cross‑functional collaboration to build enterprise‑grade copilots, AI search capabilities, and integrated productivity applications.
The ideal candidate will have deep experience in AI engineering, Power Platform development, and Microsoft 365 extensibility, along with the ability to translate business needs into scalable, secure, and compliant AI‑driven solutions.
Key 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 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
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.
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.
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 grounding.
Proficiency in Python, C#, 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
Compensation Overview Princeton – NJ – US: $139,570 – $169,126. The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Equal Employment Opportunity Statement BMS is committed to providing individuals with equal opportunities in employment and to creating a workplace free from discrimination. We do not discriminate on the basis of race, color, religion, sex, age, national origin, disability, or any other protected status. Disadvantaged and veterans are encouraged to apply. BMS supports people with disabilities through accommodations and adjustments during recruitment, assessment, and employment.
Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Data Protection We will not request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
#J-18808-Ljbffr