E-Commerce Architect

McKinney, TX, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Contract Independent
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • AI/ML
  • e-commerce platform
  • PHP/Magento

Summary

E-Commerce Architect
Duration: C2H Position
Location: McKinney, TX - Onsite

Job Details

We are seeking an experienced Ecommerce Architect to lead the design and evolution of our next-generation digital commerce platform supporting both B2B and B2C experiences across Web, Mobile, and API-driven ecosystems.

This role requires a forward-thinking architect who can combine modern commerce architecture (headless/composable) with an AI-first mindset, leveraging emerging technologies such as Generative AI, Agentic workflows, and real-time personalization to drive business outcomes.

Responsibilities:

·       Define and drive end-to-end architecture for scalable, high-performance eCommerce platforms.

·       Design composable / headless commerce architectures leveraging API-first and microservices principles.

·       Translate business requirements into scalable, extensible technical blueprints.

·       Establish domain-driven design and bounded contexts across commerce capabilities (catalog, pricing, checkout, fulfillment, etc.).

AI & Innovation Leadership

     Define and implement AI-driven capabilities such as:

      Product recommendations & personalization

      Intelligent search & discovery

      Conversational commerce (chat/voice agents)

      Agentic workflows (AI-driven automation across systems)

     Embed GenAI into SDLC (code generation, test automation, documentation, debugging).

     Partner with data teams to enable real-time decisioning using behavioral and transactional data.

     Evaluate and integrate AI platforms (Azure OpenAI, vector databases, LLM orchestration frameworks).

Integration & Ecosystem

     Architect integrations with ERP (Agility / similar), PIM (InRiver or equivalent), CMS (Contentful or headless CMS), Search (Klevu or equivalent), Payment gateways & fraud systems, and Fulfillment & logistics systems.

     Design event-driven architectures using streaming or messaging platforms.

     Enable API-first platform strategy to support internal and external consumers.

Performance, Scalability & Reliability

     Design systems optimized for high traffic and peak season readiness, low latency and strong Core Web Vitals, and high availability and fault tolerance.

     Establish caching, CDN, and edge delivery strategies.

     Define observability strategy (monitoring, logging, tracing).

Cloud & DevOps

     Lead architecture on Azure cloud ecosystem including Azure App Services, Functions, Storage, CDN, and Cosmos DB.

     Define CI/CD, infrastructure-as-code, and DevOps best practices.

     Ensure secure, compliant, and scalable cloud-native deployments.

Cloud & DevOps

     Lead architecture on Azure cloud ecosystem including Azure App Services, Functions, Storage, CDN, and Cosmos DB.

     Define CI/CD, infrastructure-as-code, and DevOps best practices.

     Ensure secure, compliant, and scalable cloud-native deployments.

Qualifications

     10+ years of experience in software engineering with significant experience in eCommerce platforms.

     Strong experience in headless / composable commerce architectures, API-first and microservices design.

     Expertise in modern web technologies: React, Next.js, Node.js (or equivalent frameworks).

     Strong experience with REST APIs, GraphQL, and event-driven systems.

     Deep understanding of eCommerce domains: catalog, pricing, promotions, checkout, order management, and fulfillment.

     Experience with cloud-native architecture (Azure preferred, AWS acceptable).

     Strong understanding of performance optimization, SEO, and Core Web Vitals.

     Knowledge of security best practices and compliance.

     Proven ability to design high-scale, distributed systems.

     Excellent problem-solving and communication skills.

AI & Data Requirements (Mandatory)

     Hands-on or applied experience with Generative AI (LLMs, prompt engineering, RAG architectures).

     Experience with AI-powered personalization or recommendation systems.

     Experience integrating AI into customer experiences and internal workflows or SDLC.

     Understanding of vector databases, embeddings, and semantic search.

     Familiarity with AI orchestration frameworks (e.g., LangChain, Semantic Kernel, etc.).

Nice to Have

     Experience with Adobe Commerce (Magento) or similar platforms.

     Experience in B2B eCommerce environments.

     Exposure to Agentic AI / autonomous workflows.

     Experience with real-time data streaming platforms.

     Knowledge of digital marketing and growth optimization tools.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10220884
  • Position Id: 8933462
  • Posted 6 hours ago
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