Principal Enterprise Architect

Role overview Set the architectural direction for direct-to-consumer commerce and enterprise AI across brands, regions, and technology teams. You’ll define a flexible commerce ecosystem and shared foundations for AI that support customer experiences, business agility, responsible use, and operational performance. The role combines hands-on architectural leadership, governance, roadmapping, and guidance for technical teams.

Responsibilities - Define and communicate an enterprise architecture vision and multiyear roadmap for commerce and AI, including milestones, dependencies, risks, and ownership. - Own the target architecture across ecommerce, order management, inventory, payments, customer data, loyalty, content, search, marketplaces, and fulfillment. - Establish architecture standards and an AI review process covering use-case approval, risk, and production readiness. - Design shared AI platform patterns for model access, orchestration, retrieval-augmented generation, evaluation, guardrails, cost management, and observability. - Set responsible AI controls for safety, bias, human oversight, privacy, data residency, model risk, and regulatory obligations. - Guide modernization and integration using cloud-based, API-first, event-driven, and composable approaches; mentor architects, engineers, and AI practitioners.

Requirements - Bachelor’s degree in computer science, information technology, engineering, or a related field, or equivalent industry experience; a master’s degree is a plus. - At least eight years in enterprise or solution architecture in retail, fashion, or consumer goods. - Deep expertise in direct-to-consumer commerce, order management, customer data, and system integration. - At least three years architecting AI or machine learning solutions, including production generative AI or large language model applications. - Strong analytical, problem-solving, and communication skills, including explaining complex designs to technical and nontechnical audiences. - Pragmatic judgment that balances innovation with evidence, safety, business value, and enterprise needs.

Nice to have - Experience defining AI governance, shared platforms, and measurable architecture outcomes. - Familiarity with MACH principles: microservices, API-first design, cloud-native systems, and headless commerce.

Benefits and work setup Remote work is available only to applicants residing in Arizona, California, Colorado, Connecticut, Massachusetts, Minnesota, New Jersey, New York, Oregon, Texas, or Wisconsin. The listed salary range is $154,700–$208,800, with location and qualifications affecting the offer. Benefits include health and wellness programs, paid time away, financial planning support, discounts, and professional development.