Agentic Commerce Engineer – AI-Driven Platforms & Growth

Accenture PLC

Atlanta (GA)

On-site

USD 100,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) plan
Paid holidays & time off

Job summary

Accenture Song’s Customer Technology – Commerce practice is seeking a Consultant to design, build, and scale Agentic Commerce capabilities. You will develop AI-driven features integrated with enterprise commerce ecosystems, working under Managers and Senior Managers to deliver secure, production-ready solutions across Salesforce, Adobe, SAP, and MACH platforms.

You will contribute to engineering pods, support CI/CD pipelines, and ensure governance, observability, and reliability of agentic

Qualifications

  • 3+ years building commerce or digital platforms with hands-on enterprise commerce experience (Salesforce Commerce, Adobe Commerce, SAP Commerce, or MACH stacks).
  • Experience with API-led, microservices-based architectures.
  • 1+ year of experience in the CMT Industry.

Responsibilities

  • Develop AI-driven agentic commerce features that are production-ready, secure, and integrated with enterprise commerce ecosystems.
  • Configure and develop on Salesforce, Adobe, SAP, and MACH ecosystems per designs.
  • Support prototype-to-production efforts and embed agentic workflows into live commerce environments.
  • Collaborate across AI, backend, data, cloud, and DevOps teams to deliver features.

Skills

Salesforce Commerce
Adobe Commerce
SAP Commerce
API microservices
CMT Industry

Job description

Accenture Song’s Customer Technology – Commerce practice is seeking a Consultant to design, build, and scale Agentic Commerce capabilities. You will develop AI-driven features integrated with enterprise commerce ecosystems, working under Managers and Senior Managers to deliver secure, production-ready solutions across Salesforce, Adobe, SAP, and MACH platforms.

You will contribute to engineering pods, support CI/CD pipelines, and ensure governance, observability, and reliability of agentic

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