Technical Commerce & AI Consultant | Agentic Commerce

Accenture Plc

Bentonville, AR

JOB DETAILS
SKILLS
Adobe Product Family, Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Campaigns, Consulting, Consumer Branding, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Experience, Customer Relations, Customer/Client Research, Data Management, Develop and Maintain Customers, Distributed Computing, Ecosystems, GCP (Good Clinical Practices), Marketing, Memory Management, Mentoring, Merchandising, Microsoft Windows Azure, Model Validation, Organizational Development/Management, Performance Tuning/Optimization, Predictive Modeling, Pricing, Product Demonstration, Quality Metrics, Redis, Return on Investment (ROI), Revenue Growth, SAP, Sales Presentation, Salesforce.com, Systems Scalability, Taxonomies, Testing, Use Cases
LOCATION
Bentonville, AR
POSTED
30+ days ago

About Accenture Song - Customer Technology, Commerce

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, the Customer Technology - Commerce practice helps organizations design, build, and scale modern digital commerce ecosystems that deliver personalized, seamless, and intelligent customer experiences.

We integrate commerce platforms, customer data, marketing technology, and AI-powered decisioning to transform how brands engage customers across channels. By embedding Generative AI and Agentic AI into commerce operations, we enable real-time personalization, autonomous merchandising, dynamic pricing, campaign orchestration, and revenue growth at scale.

WHAT'S IN IT FOR YOU?

  • Work at the forefront of Agentic Commerce and Generative AI, building next-generation intelligent commerce ecosystems.
  • Gain hands-on exposure to modern commerce platforms, composable architectures, CDPs, MarTech stacks, and AI orchestration frameworks.
  • Collaborate with Song teams across Commerce, Experience, Marketing, and Data.
  • Contribute to reusable accelerators and AI-driven commerce solution assets.
  • Develop deep technical expertise and client-facing consulting skills within high-impact transformation programs.

What You Would Do in This Role

As an Agentic Commerce & AI Consultant, you will design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks. You will take ownership of solution components, ensuring scalable, secure, and business-aligned deployments within customer technology ecosystems.

Agentic Commerce Solution Development

  • Design and implement Agentic AI systems enabling intelligent decision workflows across:

  • Personalization engines

  • Merchandising optimization

  • Campaign orchestration

  • Conversational commerce

  • Digital customer engagement platforms

  • Develop multi-agent architectures coordinating planners, retrievers, reasoning agents, predictive models, and optimization components.

  • Build and operationalize retrieval-augmented generation (RAG) systems grounded in structured commerce knowledge, product taxonomies, business rules, and policy constraints.

Data & Orchestration Engineering

  • Define and manage data, knowledge, and context pipelines to support effective agent reasoning.

  • Lead data preparation, integration, validation, and semantic modeling for commerce use cases.

  • Architect orchestration pipelines integrating:

  • Predictive models

  • LLM reasoning

  • Decision APIs

  • Enterprise tools and backend services

  • Ensure scalable integration within digital commerce platforms (e.g., Adobe Commerce, Salesforce Commerce, SAP CX, composable commerce architectures).

Cloud & Deployment

  • Leverage AWS, Azure, or GCP for scalable AI deployment and lifecycle management.
  • Develop modular services using FastAPI and deploy production-ready solutions using containerized and CI/CD-based environments.
  • Utilize Databricks for large-scale modeling workflows and AI experimentation.
  • Integrate vector databases, distributed knowledge systems, and in-memory state management (e.g., Redis) for context-aware agent workflows.

Responsible AI & Performance Optimization

  • Apply Responsible AI principles including:

  • Structured tool access

  • Context governance

  • Logging and traceability

  • Bias awareness

  • Drift detection

  • Implement LLM evaluation metrics, structured testing frameworks, and observability standards.

  • Continuously optimize multi-agent systems for scalability, reliability, and commercial impact.

Consulting & Client Engagement

  • Collaborate with cross-functional teams and clients to align AI implementations with business objectives.
  • Support development of client-ready presentations, demos, and value narratives.
  • Translate complex AI architectures into clear business outcomes and ROI impact.
  • Contribute to knowledge assets, reusable accelerators, and best practices.
  • Mentor junior analysts and support team capability development.

About the Company

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Accenture Plc