Senior AI Platform Engineer, Microsoft 365 & Copilot; LTE

The Foundation

We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation‑paid retirement contribution, regional holidays, and opportunities to engage in several employee communities.

As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally.

We are looking for a Senior AI Platform Engineer to join the Productivity & Collaboration team within Global Technology Operations.

As a Senior AI Platform Engineer supporting Microsoft 365, Copilot, and AI‑enabled productivity technologies, you will design, build, integrate, govern, and operate AI‑powered experiences that improve how staff find information, automate work, create agents, and collaborate securely. This is a hands‑on engineering role with strong architectural judgment, focused on Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Microsoft Graph, M365 data readiness, and enterprise AI governance controls.

You will create reusable engineering patterns for agents, copilots, automations, knowledge sources, connectors, workflow orchestration, evaluation, monitoring, and lifecycle management. You will help define when solutions should use Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI, ChatGPT Enterprise, Claude Enterprise, or another approved platform, and you will ensure those choices align with data protection, security, compliance, cost, and operational requirements.

At its core, this role bridges AI strategy, platform engineering, and staff experience. You will translate business needs into secure and supportable AI‑enabled solutions, bring clarity to emerging platform capabilities, reduce technical and governance debt, and help mature the foundation’s operating model for AI‑enabled productivity and collaboration. This role requires strong engineering execution, systems thinking, sound judgment, clear communication, and the ability to operate across a complex enterprise environment with evolving AI technology, governance expectations, and stakeholder needs.

• AI Solution Engineering and Agent Platform Development.
• M365 Copilot, Copilot Studio, and Agent Governance.
• Power Platform and Low‑Code AI Engineering.
• M365 Data Readiness for AI.
• AI Platform Operations, Monitoring, and Cost Management.
• Architecture, Security, and Responsible AI Controls.
• Cross‑Functional Delivery and Technical Leadership.
• Continuous Improvement and Emerging Technology Evaluation.

• 10+ years of relevant experience in AI engineering, software engineering, cloud engineering, platform engineering, Microsoft 365 engineering, Power Platform engineering, or equivalent practical experience.
• Hands‑on experience building, integrating, or operating enterprise AI solutions using large language models, retrieval‑augmented generation, semantic search, AI agents, prompt engineering, workflow orchestration, or AI‑enabled automation.
• Experience with Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Azure OpenAI, Microsoft Graph, SharePoint Online, Teams, One Drive, Entra , Power Shell, APIs, or related Microsoft cloud technologies.
• Experience designing secure data access patterns for AI‑enabled solutions, including permissions inheritance, least privilege, scoped connectors, identity management, auditability, DLP alignment, and information protection controls.
• Experience with Power Platform governance and ALM concepts, including environments, connectors, managed solutions, pipelines, Dataverse, service accounts, connection references, and citizen‑developer support models.
• Experience improving M365 data readiness for AI, including permissions cleanup, content…