Senior AI Platform Engineer, Microsoft 365 & Copilot (3 year LTE)

Gates Foundation•Seattle, WA

10d

About The Position

The Foundation is the largest nonprofit fighting poverty, disease, and inequity around the world. We are looking for a Senior AI Platform Engineer to join the Productivity & Collaboration team within Global Technology Operations. Our team delivers the core productivity, collaboration, knowledge, automation, and AI-enabled workplace capabilities that help foundation staff work securely, effectively, and with mission impact. This role will help the foundation scale AI responsibly by turning enterprise AI strategy and governance into secure platform patterns, working solutions, sustainable operations, and measurable business value. 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.

Requirements

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, OneDrive, Entra ID, PowerShell, 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 lifecycle, search and discoverability, knowledge-source curation, information architecture, retention, sensitivity labels, or data governance practices.
Experience with AI evaluation and operational practices such as response quality testing, retrieval testing, prompt testing, hallucination reduction, monitoring, observability, feedback loops, latency, and cost optimization.
Strong engineering judgment and documentation skills, including the ability to create reusable patterns, technical standards, architecture decision records, runbooks, and support procedures.
Ability to translate business needs and governance requirements into secure, scalable, supportable technical solutions.
Strong communication skills, including the ability to explain technical concepts, platform constraints, risks, and recommendations to technical and non-technical audiences.
Ability to navigate ambiguity, influence without authority, build trust across diverse stakeholder groups, and drive clarity in a fast-moving AI technology environment.
Must have unrestricted work authorization in the country where this position is located.
The Foundation does not provide immigration-related sponsorship for this role. This includes direct company sponsorship and any work authorization requiring a written submission or other immigration support from the company (e.g. H-1B, O-1, L-1, E, OPT, STEM-OPT, CPT, TN, J-1, etc.).

Nice To Haves

Experience working across Information Security, Legal, Privacy, Records, Enterprise Architecture, data teams, engineering teams, vendors, and business stakeholders is preferred.
Microsoft certifications in Azure, Microsoft 365, Power Platform, Security, AI, or Architecture.
Experience in regulated or complex enterprise environments.
Experience with ChatGPT Enterprise, Claude Enterprise, Semantic Kernel, Azure AI Search, or similar agent and orchestration technologies.

Responsibilities

Design, build, test, deploy, and support AI-enabled solutions using Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Azure OpenAI, Microsoft Graph, approved connectors, APIs, and related enterprise AI technologies.
Develop patterns for retrieval-augmented generation, grounding, agent instructions, prompt libraries, workflow automation, human-in-the-loop review, and safe action execution.
Define and operate engineering standards for enterprise, team, and individual agents, including ownership, access, sharing, environment strategy, lifecycle, monitoring, retirement, and support expectations.
Partner with AI Program, Enterprise Architecture, Information Security, Enterprise Data, Legal, Privacy, Records, and platform owners to translate enterprise AI policy into platform-level guardrails and repeatable implementation patterns.
Establish technical patterns for Copilot Studio, Power Apps, Power Automate, Dataverse, connectors, solution packaging, environment management, application lifecycle management, deployment pipelines, connection references, and reusable components.
Help mature Power Platform governance into a scalable model for agents, apps, flows, and citizen-developer solutions.
Improve the quality, security, and usefulness of Microsoft 365 data for AI experiences by partnering on SharePoint, OneDrive, Teams, and Exchange governance.
Support work that strengthens permissions hygiene, reduces oversharing, improves search and discoverability, improves knowledge-source curation, and aligns retention, sensitivity, and information architecture practices with AI usage.
Build operational practices for AI-enabled platforms, including usage reporting, cost and consumption monitoring, auditability, incident response, service health, platform baselines, risk reviews, and continuous improvement.
Help leadership understand adoption, value, cost drivers, control gaps, and platform risks across Copilot, Copilot Studio, Power Platform, Azure AI, and other approved enterprise AI tools.
Design secure data access and integration patterns using least privilege, scoped connectors, existing user permissions, enterprise identity, audit logging, DLP alignment, and approved architecture standards.
Evaluate AI solutions for accuracy, retrieval quality, grounding quality, prompt safety, latency, cost, permissions behavior, and operational supportability.
Partner across the IT department and foundation wide, with TPMs, engineers, architects, service owners, vendors, and business stakeholders to move high-value AI scenarios from concept to sustainable production support.
Create technical documentation, runbooks, decision records, platform patterns, and executive-ready materials that explain recommendations, tradeoffs, risks, and decisions clearly.
Stay current on Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI, agentic AI, enterprise AI governance, and related industry trends.
Evaluate new capabilities pragmatically, recommend where they fit, and help the foundation adopt new AI technologies with the right balance of pace, value, security, and operational discipline.