Technical Commerce & AI Consultant | Agentic Commerce

Accenture Plc
  • Cincinnati, OH
    30+ days ago

    Job Description

    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.

    Numbers & Facts

    LocationCincinnati, OH

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