principal engineer, AI Experiences, Enterprise Applications & Decision Platforms

Now Brewing – principal engineer, AI Experiences, Enterprise Applications & Decision Platforms! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. We are seeking a visionary Principal Engineer to define and lead the next generation of enterprise data, application, and AI-enabled experiences. This role supports the development of artificial intelligence, enterprise data platforms, application architecture, user experience, and governance. The successful candidate will be responsible for shaping how employees, analysts, operators, and leaders interact with enterprise information, analytics, workflows, and intelligent systems. The ideal candidate will support the development of the architecture, standards, and engineering practices that transform governed enterprise data into intuitive, scalable, and secure user experiences. This includes defining how conversational interfaces, intelligent applications, workflow systems, analytical tools, and decision-support technologies come together as a cohesive ecosystem. A key aspect of the role is helping the organization evolve from fragmented reporting and application experiences toward unified, AI-enabled platforms that deliver context-aware insights, recommendations, automation, and action-oriented decision support. As a principal engineer, AI Experiences, Enterprise Applications & Decision Platforms, you will... Define the Future of Enterprise AI Experiences Establish the long-term vision for how users discover, access, and interact with enterprise knowledge, analytics, and intelligent systems. Define architectural patterns for conversational interfaces, AI assistants, recommendation engines, and agent-based solutions. Create a cohesive strategy that connects data, analytics, workflows, and AI into seamless business experiences. Guide the evolution toward proactive, context-aware decision support and automation. Lead Enterprise Application Platform Strategy Define the architecture of modern business applications built on governed enterprise data. Establish standards for application hosting, user experience, integration, deployment, and lifecycle management. Create scalable frameworks that allow teams to rapidly develop applications while maintaining consistency, governance, and security. Drive simplification and rationalization across overlapping application and reporting technologies. Create a Unified User Experience Architecture Support leaders to establish principles that provide users with a consistent way to discover and access business capabilities. Enable a marketplace-style experience that balances self-service innovation with governance and operational control. Ensure experiences remain intuitive regardless of the underlying technology stack. Drive AI and Intelligent Automation Adoption Partner with business and technology teams to identify opportunities where AI can accelerate decision making and reduce manual effort. Define reusable patterns for intelligent workflows and automated actions. Establish standards for integrating AI capabilities into operational and analytical experiences. Promote responsible and governed adoption of emerging AI technologies. Advance Context & Knowledge Engineering Support and champion the development of semantic models, metadata strategies, business ontologies, and knowledge frameworks that improve AI effectiveness. Enable systems to understand relationships between data, processes, users, and business concepts. Drive contextualization strategies that improve discoverability, reuse, and decision quality. Establish foundations for enterprise-scale intelligent systems. Governance, Security & Platform Standards Support leaders in the development of scalable access control and authorization