Principal Enterprise Architect

• Architect future-ready, omnichannel commerce platforms supporting unified experiences such as BOPIS, Same-day Delivery, and Endless Aisle.
• Design intelligent, AI-augmented experiences that integrate predictive personalization, dynamic pricing, virtual styling, conversational commerce, and autonomous checkout journeys.
• Champion the use of Agentic Commerce patterns-autonomous shopping agents, proactive assistant bots, and AI-driven fulfillment orchestration-to create frictionless, next-gen shopping experiences.
• Integrate commerce ecosystems with real-time decision engines, customer data platforms (CDPs), recommendation systems, and AI models to drive adaptive journeys.
• Partner with product, engineering, and data science teams to implement AI across the customer lifecycle-from acquisition and engagement to loyalty and retention.
• Define architectural principles to scale AI/ML use cases, leveraging cloud-native platforms (GCP, AWS), serverless models, and data mesh strategies.
• Ensure architecture enables real-time signals processing (e.g., clickstream, IoT, POS), contextual understanding, and action-triggering across commerce surfaces.
• Lead architectural reviews and governance for AI-based and connected commerce projects.
• Guide experimentation with GenAI, LLMs, and autonomous agents in commerce, marketing, and fulfillment use cases.
• Collaborate with data, privacy, and compliance teams to align AI-powered experiences with data governance and ethical AI frameworks.

• Bachelor's degree in computer science, Engineering, or related field; master's preferred.
• 10+ years of architecture leadership, with at least 5+ years in commerce or omnichannel transformation roles.
• Demonstrated experience architecting and delivering commerce platforms across:
• Headless eCommerce (Shopify, Salesforce Commerce, etc.)
• Digital Experience Platforms (CMS, DAM, PIM)
• Customer Data Platforms (CDPs), Loyalty & Personalization Engines
• Retail POS, OMS, and Fulfillment Systems
• Deep knowledge of cloud-native architectures, microservices, event-driven systems (Kafka, GCP Pub/Sub), and serverless patterns.
• Experience integrating AI/ML services into customer-facing applications, preferably in real-time or large-scale environments.

Nice to Have:

• Experience with Agentic AI frameworks or commerce focused LLMs.
• Familiarity with AI platforms like Vertex AI, Amazon Bedrock, Azure OpenAI, or similar.
• Working knowledge of data pipelines, model deployment (MLOps), and experimentation platforms.
• Exposure to composable commerce and MACH (Microservices, API-first, Cloud-native, Headless) architecture.
• Retail, CPG, or DTC brand experience with personalization and omnichannel engagement initiatives.