Technical Commerce & AI Consultant | Agentic Commerce

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, Mar Tech 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.

* Travel:
As required for client support up to 50%

* Location:

Primary residency within 90 minutes of an approved Accenture office

Qualification

Who We Are Looking For

* 4+…