PepsiCo leverages Microsoft 365 and strategic SaaS platforms to empower over 290,000 users with intelligent collaboration, productivity tools and secure cloud services. As the enterprise accelerates AI adoption, including Microsoft Copilot and other AI-powered workflows, this role will serve as architect and strategic advisor for designing, governing and evolving the global collaboration, automation and AI platform ecosystem, with strong emphasis on Microsoft Power Platform Capabilities. The M365 & Copilot Architect leads the architecture, strategy, governance, and implementation of Microsoft 365, with primary focus on Power Platform (PowerApps, Power Automate, Power Virtual Agents, Dataverse, Environments) and M365 Copilot & Copilot Studio, ensuring its seamless integration across the Microsoft 365 ecosystem to drive enterprise productivity and digital transformation. Defines architectural standards, ensures alignment with business objectives, evaluates emerging technologies and provides technical insights across multiple initiatives. The architect partners closely with business, executive leadership and stakeholders to optimize workflows, security & compliance, enabling scalable, intelligent and user-centric AI solutions that enhance collaboration and decision-making across the organization. A critical component of the role is leadership in Intelligent Automation and AI innovation, including hands-on expertise in Power Platform solution architecture (Power Virtual Agents, Power Apps development patterns, Power Automate orchestration, API integrations, Dataverse architecture, ALM, environment strategy, and governance). The architect plays a key role in enabling enterprise-wide citizen development programs, establishing guardrails, defining Center of Excellence (CoE) standards, and scaling automation and AI responsibly. While the primary focus remains on M365 Copilot and Power Platform, the M365 & Copilot Architect is expected to demonstrate strong expertise in Generative AI, AI Integration, Prompt engineering, Ethical AI, Natural Language Processing (NLP), Machine Learning (ML), Model fine-tuning, AI Observability & monitoring, Large Language models (LLM), Conversational AI and Responsible & Enterprise AI.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees