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Principal, Architecture – AI, Unified Commerce
Job Description:
- Drive the vision, design, and execution of an integrated technology architecture that powers seamless, intelligent, and personalized customer experiences across all digital and physical touchpoints.
- 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.
- Design intelligent, AI-augmented experiences that integrate predictive personalization, dynamic pricing, virtual styling, conversational commerce, and autonomous checkout journeys.
- 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.
- Architect future-ready, omnichannel commerce platforms supporting unified experiences such as BOPIS, Same-day Delivery, and Endless Aisle.
- 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.
Requirements:
- Bachelor’s degree in computer science, Engineering, or related field; Master’s preferred.
- 10+ years of architecture, with at least 5+ years in commerce or omnichannel large scale 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
- 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 initiative
- Strategic mindset with a strong grasp of emerging tech and its impact on business.
- Excellent communication and storytelling skills—especially around complex AI and tech-driven business value.
- Ability to balance short-term business needs with long-term Gap’s Architecture vision.
- Highly collaborative with a passion for innovation, experimentation, and user-centered design.
- Comfortable driving clarity and structure in ambiguous and fast-moving environments.
Benefits:
- Flexible working arrangements
- Professional development