Senior Copilot Engineer
Bristol-Myers Squibb
Senior Copilot Engineer
Job Description
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. 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. 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. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Supporting People with Disabilities 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. 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
Key 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
- 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
- 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
- -8 years of experience in AI/ML engineering, cloud development, or enterprise solution delivery
- -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
Skills Required
- Excellent communication and stakeholder engagement skills
- 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
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
- Supporting People with Disabilities
Locations
- Princeton NJ, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
150,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent communication and stakeholder engagement skillsintermediate
- AI/LLM Engineering & Solution Designintermediate
- Power Platform & SPFx Developmentintermediate
- Multi-Cloud (Azure + AWS) Architectureintermediate
- RAG & AI Search Integrationintermediate
- Technical Leadership & Innovationintermediate
- Stakeholder Collaboration & Communicationintermediate
- Strategic Problem Solving & Delivery Excellenceintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (experience)
- -8 years of experience in AI/ML engineering, cloud development, or enterprise solution delivery (experience)
- -8 years of hands-on Microsoft Power Platform development experience (experience)
- Practical experience with major AI/ML platforms including Microsoft Azure, AWS, and Google Cloud (experience)
- Strong background developing solutions in regulated or large-scale enterprise environments (experience)
- Deep expertise across the Microsoft 365 ecosystem: Azure, SharePoint, Teams, Purview, Defender, and Power Platform (experience)
- Hands-on experience with Microsoft Copilot Studio (prompt flows, orchestration, connectors) (experience)
- Experience with Azure AI Foundry / Azure OpenAI, including prompt engineering, grounding, and model deployments (experience)
- Extensive experience with Power Apps, Power Automate, and custom Power Platform connectors (experience)
- Proficiency in SPFx (SharePoint Framework) development and Microsoft Graph integrations (experience)
- Strong working knowledge of AI search technologies such as Azure Cognitive Search, AWS Kendra, and Elasticsearch (experience)
- Experience building cloud-native AI workflows with Azure Functions, AWS Lambda, and modern orchestration patterns (experience)
- Strong understanding of RAG architectures, vector databases, semantic search, and contextual grounding (experience)
- Proficiency in Python, C#, or TypeScript for custom development and integration (experience)
- Familiarity with Responsible AI practices, MLOps, and end-to-end AI lifecycle management (experience)
- Experience developing enterprise copilots, plugins, and extensibility solutions for Microsoft 365 and Power Platform (experience)
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
- 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
- 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
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
- general: Supporting People with Disabilities
Tags & Categories
Senior Copilot Engineer
Bristol-Myers Squibb
Senior Copilot Engineer
Job Description
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. 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. 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. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Supporting People with Disabilities 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. 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
Key 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
- 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
- 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
- -8 years of experience in AI/ML engineering, cloud development, or enterprise solution delivery
- -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
Skills Required
- Excellent communication and stakeholder engagement skills
- 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
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
- Supporting People with Disabilities
Locations
- Princeton NJ, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
150,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent communication and stakeholder engagement skillsintermediate
- AI/LLM Engineering & Solution Designintermediate
- Power Platform & SPFx Developmentintermediate
- Multi-Cloud (Azure + AWS) Architectureintermediate
- RAG & AI Search Integrationintermediate
- Technical Leadership & Innovationintermediate
- Stakeholder Collaboration & Communicationintermediate
- Strategic Problem Solving & Delivery Excellenceintermediate
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (experience)
- -8 years of experience in AI/ML engineering, cloud development, or enterprise solution delivery (experience)
- -8 years of hands-on Microsoft Power Platform development experience (experience)
- Practical experience with major AI/ML platforms including Microsoft Azure, AWS, and Google Cloud (experience)
- Strong background developing solutions in regulated or large-scale enterprise environments (experience)
- Deep expertise across the Microsoft 365 ecosystem: Azure, SharePoint, Teams, Purview, Defender, and Power Platform (experience)
- Hands-on experience with Microsoft Copilot Studio (prompt flows, orchestration, connectors) (experience)
- Experience with Azure AI Foundry / Azure OpenAI, including prompt engineering, grounding, and model deployments (experience)
- Extensive experience with Power Apps, Power Automate, and custom Power Platform connectors (experience)
- Proficiency in SPFx (SharePoint Framework) development and Microsoft Graph integrations (experience)
- Strong working knowledge of AI search technologies such as Azure Cognitive Search, AWS Kendra, and Elasticsearch (experience)
- Experience building cloud-native AI workflows with Azure Functions, AWS Lambda, and modern orchestration patterns (experience)
- Strong understanding of RAG architectures, vector databases, semantic search, and contextual grounding (experience)
- Proficiency in Python, C#, or TypeScript for custom development and integration (experience)
- Familiarity with Responsible AI practices, MLOps, and end-to-end AI lifecycle management (experience)
- Experience developing enterprise copilots, plugins, and extensibility solutions for Microsoft 365 and Power Platform (experience)
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
- 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
- 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
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
- general: Supporting People with Disabilities
Tags & Categories