Principal - Architecture (AI, Unified Commerce)

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.

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