Commerce Architecture & Delivery Senior Manager 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.

• Lead large-scale commerce implementations where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks)

• Shape Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets

• Own end-to-end delivery—from architecture and roadmap through build, rollout, and value realization

• Work with global clients across B2C, B2B, and B2B2C commerce

• Grow engineering leaders and multidisciplinary teams across AI, backend, cloud, and commerce platforms

As an Agentic
Senior Manager in Customer Technology – Commerce
, you will own the architecture, delivery, and scaling of Agentic Commerce implementations
, ensuring AI-driven capabilities are production-ready, secure, and tightly integrated with enterprise commerce ecosystems.

• Define and lead Agentic Commerce architecture patterns across composable and platform-led commerce implementations

• Translate AI-driven commerce strategy into executable platform roadmaps aligned to Salesforce, Adobe, SAP, and MACH ecosystems

• Lead prototype-to-production transformations, embedding agentic workflows into live commerce environments

• Architect modular, reusable agent frameworks integrated with commerce engines, APIs, and backend services

• Establish enterprise-grade standards for scalability, security, observability, and reliability of agentic systems

• Drive build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and AI infrastructure

• Lead large, distributed engineering and delivery teams across AI, backend, data, cloud, and Dev Ops

• Oversee CI/CD, cloud-native deployments, and Kubernetes-based scaling on Azure, AWS, or GCP

• Ensure seamless integration with CRM, CDP, payments, order management, pricing, and fulfillment systems

• Embed policy-driven architecture including governance, compliance, auditability, and explainability

• Define technical and business KPIs to measure agent performance, conversion uplift, operational efficiency, and ROI

• Establish human-in-the-loop and feedback mechanisms to continuously improve agent effectiveness

• Create industry-specific POVs, demos, and proposal assets for Agentic Commerce implementations

• Sponsor internal accelerators, reference architectures, and reusable components

• Engage C-suite and senior client stakeholders, translating complex architectures into business outcomes

• Travel:
  As required for client support up to 50%
• Location:
  
  Primary residency within 90 minutes of an approved Accenture office

• 12+ years of experience delivering enterprise-scale commerce and digital platforms with proven leadership at the Senior Manager level across complex, multi-region programs. Experience should include:

  • Core Expertise
    • Deep experience implementing enterprise commerce platforms (Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks)
    • Strong hands‑on leadership in agentic AI architectures embedded into production systems
    • Expertise in API‑led, microservices‑based architectures supporting distributed commerce systems
    • Experience integrating LLMs, RAG pipelines, vector databases, and contextual memory into enterprise platforms
    • Experience with designing of a semantic layer and knowledge graph
    • Experience with prompt engineering
  • Eng…