Agentic Commerce Engineer – AI-Powered Platforms

Accenture PLC; St. Louis (MO); On-site; USD 100,000 - 180,000; Full time

Job summary

Accenture Song in the United States seeks a Consultant in Customer Technology – Commerce to design and build Agentic Commerce features across Salesforce, Adobe, SAP, and MACH stacks. You will work with global clients, crafting AI-powered capabilities, ensuring secure, scalable deployments and production-readiness.

You will collaborate with AI, backend, data, and cloud pods, follow governance practices, and mentor junior engineers while delivering from prototype to production.

Qualifications

• 3+ years of experience building commerce or digital platform solutions with hands-on experience on at least one enterprise commerce platform (Salesforce Commerce, Adobe Commerce, SAP Commerce, or MACH stacks) with exposure to agentic AI or Generative AI features.
• Working knowledge of API-led, microservices-based architectures.
• 1+ year of experience working in the Products (Retail, CP&G, Life Sciences) Industry.

Responsibilities

• Build Agentic Commerce features and production-ready AI-driven capabilities.
• Configure and develop on Salesforce, Adobe, SAP, and MACH ecosystems in line with solution designs.
• Support prototype-to-production efforts and embed agentic workflows into live commerce environments.
• Develop modular, reusable agent components integrated with commerce engines, APIs, and backend services.
• Follow enterprise-grade standards for scalability, security, observability and reliability.
• Collaborate with cross-functional teams to deliver features and mentor junior engineers.

Skills

Agentic AI

Generative AI

Enterprise commerce

Salesforce Commerce

Adobe Commerce

SAP Commerce

MACH stacks

APIs & microservices

Tools

Cloud platforms

Job description

Accenture Song in the United States seeks a Consultant in Customer Technology – Commerce to design and build Agentic Commerce features across Salesforce, Adobe, SAP, and MACH stacks. You will work with global clients, crafting AI-powered capabilities, ensuring secure, scalable deployments and production-readiness.

You will collaborate with AI, backend, data, and cloud pods, follow governance practices, and mentor junior engineers while delivering from prototype to production.