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 integrateAI Searchcapabilities 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 usingAI Workflowswith 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
- Bachelor6s or Master6s degree in Computer Science, Engineering, or a related field.
- 5 6 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.
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
#AICP
If you come across a role that intrigues you but doesn6t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
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 employee6s 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
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 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.
Work-life benefits include:
Paid Time Off
US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
