Agentic Commerce Architecture & Delivery Manager | Communications, Media Technology

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.

• Lead delivery of Agentic Commerce work streams where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks)
• Contribute to Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets
• Own delivery of solution components and work streams—from design through build, rollout, and value realization
• Work with global clients across B2C, B2B, and B2B2C commerce
• Grow and mentor multidisciplinary engineering teams across AI, backend, cloud, and commerce platforms

As a Manager in Customer Technology – Commerce, you will lead the design, delivery, and scaling of Agentic Commerce work streams, ensuring AI-driven capabilities are production-ready, secure, and well integrated with enterprise commerce ecosystems.

• Apply and extend Agentic Commerce architecture patterns across composable and platform-led commerce implementations
• Translate AI-driven commerce designs into executable build plans aligned to Salesforce, Adobe, SAP, and MACH ecosystems
• Drive prototype-to-production efforts, embedding agentic workflows into live commerce environments

• Design modular, reusable agent frameworks integrated with commerce engines, APIs, and backend services
• Apply enterprise-grade standards for scalability, security, observability, and reliability of agentic systems
• Contribute to build vs. buy evaluations across LLM platforms, orchestration frameworks, vector stores, and AI infrastructure

• Manage engineering and delivery pods across AI, backend, data, cloud, and Dev Ops
• Implement CI/CD, cloud-native deployments, and Kubernetes-based scaling on Azure, AWS, or GCP
• Deliver integration with CRM, CDP, payments, order management, pricing, and fulfillment systems

• Implement policy-driven architecture including governance, compliance, auditability, and explainability
• Track technical and business KPIs measuring agent performance, conversion uplift, operational efficiency, and ROI
• Operate human-in-the-loop and feedback mechanisms to continuously improve agent effectiveness

• Contribute to industry-specific POVs, demos, and proposal assets for Agentic Commerce implementations
• Build and enhance internal accelerators, reference architectures, and reusable components
• Engage senior client stakeholders, translating architectures into delivery outcomes

• 7+ years of experience delivering enterprise-scale commerce and digital platforms with experience in:
  • Hands-on experience implementing enterprise commerce platforms (Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks)
  • Hands-on experience building agentic AI capabilities integrated into production systems
  • Strong knowledge of API-led, microservices-based architectures supporting distributed commerce systems
  • Experience integrating LLMs, RAG pipelines, vector databases, and contextual…