Agentic Commerce & AI Consultant

Accenture

Columbus (OH)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Accenture Song – Customer Technology, Commerce is seeking an Agentic Commerce & AI Consultant to design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks. You will own components ensuring scalable, secure deployments within client ecosystems.

You will lead data pipelines, orchestration of models, and integration with enterprise platforms while mentoring juniors and contributing to reusable accelerators and assets. Travel up to 50% as needed.

Qualifications

  • 4+ years of experience building scalable AI or data-driven systems, preferably in digital commerce, MarTech, or customer technology ecosystems.
  • Strong proficiency in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI solutions.
  • Experience with agentic AI frameworks and multi-agent orchestration pipelines.

Responsibilities

  • Design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks.
  • Own solution components ensuring scalable, secure deployments within customer technology ecosystems.
  • Lead data preparation, integration, validation, and semantic modeling for commerce use cases.
  • Develop modular services with FastAPI and deploy production-ready solutions in containerized environments.
  • Mentor junior analysts and contribute to reusable accelerators and best practices.

Skills

Python
SQL
Generative AI
Agentic AI
LangChain
CI/CD
FastAPI
Cloud Platforms

Tools

Databricks
Redis
Vector databases
AWS/Azure/GCP
Adobe Commerce
Salesforce Commerce

Job description

Accenture Song – Customer Technology, Commerce is seeking an Agentic Commerce & AI Consultant to design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks. You will own components ensuring scalable, secure deployments within client ecosystems.

You will lead data pipelines, orchestration of models, and integration with enterprise platforms while mentoring juniors and contributing to reusable accelerators and assets. Travel up to 50% as needed.

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