Workplace Solutions Engineer

Overview The Workplace Services Engineering and Delivery team is responsible for leading integrated solutions across the Global Workplace Services (GWS) portfolio, which includes Workplace AI & Experience Services, Modern Workplace, Global End User Compute, Workplace Enablement, and Global UCC Services. Serving as the primary point of contact for internal clients, the team collaborates with tower engineering resources to ensure a unified engineering strategy and oversees program status for both engineering and delivery initiatives. The Engineer serves as the principal contact for global projects with a primary focus on the Europe, India and Asia Pacific, while providing backup support in other regions as needed. Responsibilities Reports to Workspace Services Engineering & Delivery Lead. Serve as the strategic IT partner to Markets/Business Units, ensuring technology initiatives are fully aligned with business priorities and goals. Lead the engineering, deployment, stabilization, and adoption of GWS solutions. Coordinates cross-tower projects and works with specialized technology engineers and solution architects (dotted line). Acts as single point of contact for GWS and other S&T teams, directly supporting internal customers. Drive end-to-end implementation GWS solutions in line with PepsiCo’s Annual Operating Plan (AOP) and sector transformation strategies. Delivers unified GWS strategy aligned with S&T goals. Ensure digital solutions are integrated with business processes and operations to deliver measurable value and efficiency. Oversee project delivery by tracking progress, anticipating risks, and driving timely resolution of roadblocks. Qualifications Bachelor’s degree in Information Technology or related field preferred. 8–10 years of relevant IT experience, with strong exposure to Global Workplace Services (M365, ServiceNow, PC and device management) for a global company. Hands-on experience engineering and deploying complex global projects and solutions Successful track record of delivering AI solutions Familiarity with AI tools and platforms, such as: OpenAI (GPT-3/4, Assistants API), Anthropic, or similar LLM providers. Ability to integrate AI capabilities into applications, such AI copilots, smart chatbots, automated data processors, content generators. Understanding of prompt engineering, context handling, and AI output refinement. Proven ability to operate effectively in matrixed organizations and collaborate with geographically dispersed teams. Strong stakeholder engagement and communication skills, with the ability to influence at multiple levels. Experience in consulting or leading large-scale transformation programs is an advantage. Proficiency in business-level English, both written and verbal. Strong analytical and problem-solving abilities with a results-oriented mindset and focus on execution. Expose and experience in IT/OT area is an advantage