Adobe Commerce Sr. Solution Architect

Perficient•United States,
•$160,400 - $208,400

About The Position

The Senior Solution Architect serves as the primary strategist for enterprise digital commerce transformations, architecting composable ecosystems using Adobe Commerce as a Cloud Service (ACCS) and Adobe Commerce Optimizer (ACO). In an AI-first consulting environment, the role uses AI-driven system modeling, automated architectural analysis, and AI-native commerce technologies—such as agentic workflows and dynamic hyper-personalization—to accelerate value delivery and design forward-compatible enterprise platforms. The role guides enterprise clients in modernizing commerce platforms, including migration from monolithic or PaaS setups to versionless ACCS architectures and ACO catalog ingestion models. It also establishes governance for out-of-process App Builder extensions and for safe, secure, and ethical AI integration across client platforms. The position is with Perficient’s Commerce team, which partners with leading technology providers to design, build, and support digital experiences for Fortune 500 customers and recognized brands. The team works across Commerce, PIM, OMS, and content delivery.

Requirements

  • 8–12+ years of experience in digital commerce architecture.
  • 5+ years specializing in Adobe Commerce (Magento) and cloud-native SaaS patterns.
  • Hands-on experience integrating or orchestrating AI/ML capabilities into commerce ecosystems, such as AI search, automated merchandising, LLM API orchestration, or AI-assisted development workflows.
  • Expertise with ACCS, App Builder, API Mesh, Edge Delivery Services, and Adobe Sensei Live Search or Recommendations.

Nice To Haves

  • Adobe Certified Master – Adobe Commerce Architect certification.
  • Adobe Expert Solution Architect certification.

Responsibilities

  • Architect end-to-end composable commerce solutions using ACCS, ACO and Edge Delivery Services, App Builder, API Mesh, and AI capabilities such as Adobe Sensei, generative search, and custom AI agent integrations.
  • Use AI tools and LLMs for solution blueprinting, automated code and API pattern audits, data-flow mapping, and legacy-system refactoring strategies.
  • Design integration patterns connecting ACCS and ACO with AI-powered search, recommendation engines, generative customer support, and autonomous inventory or pricing agents.
  • Guide enterprise clients in migrating from monolithic or PaaS setups to versionless ACCS architectures and ACO catalog ingestion models.
  • Establish out-of-process App Builder extension patterns and guidelines for safe, secure, and ethical AI integration across client platforms.
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