Principal Enterprise Architecture- OMNI ( Consultant)

Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Principal Enterprise Architecture- OMNI ( Consultant) for their San Francisco, CA location.
 
Responsibilities:

• As a senior leader within the Enterprise Architecture Group under the CTO Organization, the Principal Enterprise Architect Connected Commerce / OMNI-Channel & AI will 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.
• This role spans strategic domains—Digital, Retail Stores, Supply Chain, Customer Data, eCommerce, Marketing, and Fulfillment nd serves as a critical change agent, enabling Connected and Agentic Commerce.
• The architect will influence enterprise-wide technology modernization, blueprints, and AI-driven commerce initiatives to unlock growth, improve customer satisfaction, and drive operational efficiency.
• This position plays a pivotal role in integrating AI-powered decisioning, personalization, and commerce agents into the technology landscape to support proactive, autonomous, and context-aware experiences.
• 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.

• 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 enterprise 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.

• 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.
• 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.

• Category                   Name                              Required Importance       Experience
• Technical Skills          AI                                        Yes      1                    1 - 2 Years       
• Technical Skills      Client/Server Architectures   Yes        1                  2 - 4 Years         
• Technical Skills    Information Architecture        Yes        1                    4 - 6 Years       

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities