Technical Commerce & AI Consultant | Agentic Commerce

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.

• 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.

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.

• 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.

• 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).

• 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.

• 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.

• 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…