Principal Enterprise Architecture- OMNI
San Francisco, California, United States of America
Contract
2 days ago
Key skills
AIMLGenAIOpenAIAgenticMLOpsKafkaAWSAzureGoogle CloudServerlessBedrockPub/SubVertex AIShopifySalesforceAgileLeadershipCommunication
About this role
Stellar Consulting Solutions is a boutique business & technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly
to match skill supply and demand on a real-time basis.
to match skill supply and demand on a real-time basis.
Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and retain qualified talent. We have a stellar reputation for striving to achieve high ethical standards. Our use of Innovative techniques and industry best practices has made us one of the fastest growing boutique firms delivering to enterprise business.
Job Description:
Title: Principal Enterprise Architecture- OMNI
Location: San Francisco, CA
Work Mode: Fully Onsite - 5 days/week
Duration: 12 months contract (extension possible)
Title: Principal Enterprise Architecture- OMNI
Location: San Francisco, CA
Work Mode: Fully Onsite - 5 days/week
Duration: 12 months contract (extension possible)
Job Profile Summary
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-and 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.
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-and 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.
Key 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 (Google Cloud Platform, 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.
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 (Google Cloud Platform, 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.
Required Qualifications
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.
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:
o Headless eCommerce (Shopify, Salesforce Commerce, etc.)
o Digital Experience Platforms (CMS, DAM, PIM)
o Customer Data Platforms (CDPs), Loyalty & Personalization Engines
o Retail POS, OMS, and Fulfillment Systems
o Headless eCommerce (Shopify, Salesforce Commerce, etc.)
o Digital Experience Platforms (CMS, DAM, PIM)
o Customer Data Platforms (CDPs), Loyalty & Personalization Engines
o Retail POS, OMS, and Fulfillment Systems
Deep knowledge of cloud-native architectures, microservices, event-driven systems (Kafka, Google Cloud Platform Pub/Sub), and serverless patterns.
Experience integrating AI/ML services into customer-facing applications, preferably in real-time or large-scale environments.
Experience integrating AI/ML services into customer-facing applications, preferably in real-time or large-scale environments.
Preferred Qualifications
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.
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.
Core Competencies
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.
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.