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Principal Enterprise Architect - Omnichannel Commerce & AI (Onsite - San Francisco, CA)
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Stage 4 Solutions, inc
San Francisco, CA (In Person)
Full-Time
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Job Description
Principal Enterprise Architect
The ideal candidate will have deep expertise in omnichannel commerce, enterprise architecture, cloud-native platforms, AI/ML integration, customer data platforms, retail systems, and connected commerce strategies. This individual will partner with product, engineering, data science, and business leaders to modernize the technology landscape and enable AI-driven commerce experiences. This is a 40-hour per week, 12-month contract (extensions possible), 100% onsite role in San Francisco, CA. This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
- Omnichannel Commerce & AI (Onsite
- San Francisco, CA) (San Francisco, CA, 94105) | 06/19/26 Easy Apply Share Job Job Description Principal Enterprise Architect
- Omnichannel Commerce & AI (Onsite
- San Francisco, CA) We are seeking a Principal Enterprise Architect
- Omnichannel Commerce & AI to drive the vision, architecture, and execution of enterprise-wide commerce transformation initiatives.
The ideal candidate will have deep expertise in omnichannel commerce, enterprise architecture, cloud-native platforms, AI/ML integration, customer data platforms, retail systems, and connected commerce strategies. This individual will partner with product, engineering, data science, and business leaders to modernize the technology landscape and enable AI-driven commerce experiences. This is a 40-hour per week, 12-month contract (extensions possible), 100% onsite role in San Francisco, CA. This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
Responsibilities:
- 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.
Requirements:
- 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 is preferred.
- Experience with Agentic AI frameworks or commerce focused LLMs is preferred.
- Familiarity with AI platforms like Vertex AI, Amazon Bedrock, Azure OpenAI, or similar is preferred.
- Working knowledge of data pipelines, model deployment (MLOps), and experimentation platforms is preferred.
- Exposure to composable commerce and MACH (Microservices, API-first, Cloud-native, Headless) architecture is preferred.
- Retail, CPG, or DTC brand experience with personalization and omnichannel engagement initiatives is preferred.
- Bachelor's degree in computer science, Engineering, or related field; Master's preferred.