Ecommerce Architect
GBIT (Global Bridge InfoTech Inc)
Allen, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Allen, United States of America
Tech stack
Contentful
Artificial Intelligence
Amazon Web Services (AWS)
Application Services
Automation of Tests
Azure
Cloud Engineering
Code Generation
Program Optimization
Continuous Integration
Software Debugging
DevOps
Distributed Systems
Fault Tolerance
Node.js
Payment Gateway
Performance Tuning
Systems Development Life Cycle
Recommender Systems
Next.js
Search Technologies
Software Engineering
Systems Integration
Transaction Data
Web Usability
Data Logging
React
System Availability
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Magento
Event Driven Architecture
Adobe
AI Platforms
Information Technology
Low Latency
Cosmos DB
GraphQL
Web Technologies
Virtual Agents
Api Design
REST
Stream Processing
Domain Driven Design
Microservices
Job description
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.
Requirements
- 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.