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?
Lead next-generation Agentic Commerce transformations, embedding AI-driven orchestration into digital commerce ecosystems.
Work at the intersection of commerce platforms, customer experience, data, and AI, delivering measurable revenue and growth outcomes.
Collaborate with cross-functional Song teams across Commerce, Marketing, Experience Design, and Customer Data Platforms.
Shape and scale differentiated AI-powered commerce accelerators and reusable frameworks.
Drive enterprise adoption of Agentic AI within omnichannel customer journeys and digital operating models.

What You Would Do in This Role
As an Agentic Commerce & AI Manager, you will lead the design, implementation, and scaling of Generative AI and Agentic AI solutions embedded within digital commerce and customer technology ecosystems. You will combine deep technical expertise with consulting leadership to deliver growth-focused transformation programs.
Commerce AI Architecture & Strategy
Define enterprise-level Agentic Commerce strategies, aligning AI orchestration with digital commerce roadmaps.
Architect scalable, modular, and interoperable multi-agent systems across commerce platforms.
Establish unified commerce data foundations across customer, product, transaction, behavioral, pricing, and operational datasets.
Drive integration of AI decision engines into digital commerce platforms (e.g., Adobe Commerce, SAP CX, Salesforce Commerce, Composable Commerce architectures).
Agentic AI Implementation & Orchestration
Design and lead development of multi-agent ecosystems that coordinate:
Predictive models
Optimization engines
LLM-driven reasoning
Decision APIs
Embed AI into:
Personalization engines
Campaign management platforms
Product recommendation systems
Dynamic pricing and promotions
Conversational commerce interfaces
Architect event-driven, API-first, cloud-native AI systems for real-time inference.
Governance, Trust & Enterprise Readiness
Define governance models for autonomous and semi-autonomous commerce AI systems.
Establish guardrails for:
Responsible AI
Bias monitoring
Drift detection
Explainability
Performance observability
Ensure secure deployment aligned to enterprise risk and compliance policies.
Cloud & Technology Delivery
Lead deployment across AWS, Azure, or GCP environments.
Utilize FastAPI for modular services and Databricks for scalable AI workflows.
Integrate vector databases, distributed knowledge systems, and state management solutions (e.g., Redis).
Ensure production readiness using CI/CD pipelines and Kubernetes-based deployment models.
Consulting & Commercial Leadership
Engage C-level and senior stakeholders to position Agentic Commerce as a growth accelerator.
Develop executive presentations, value cases, roadmaps, and ROI models.
Lead end-to-end delivery of Commerce AI programs including solution design, resource planning, governance, and risk management.
Mentor consultants and build hands-on capability in Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
Contribute to internal commerce AI accelerators and go-to-market offerings.