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Commerce Architecture & Delivery Senior Manager I Agentic Commerce

Accenture · Chicago, IL · 3 wk ago
Business Development$133k–$302k/yrFull-time

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 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

What you will do in this role

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.

  • Commerce & Platform Leadership
  • - 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
  • Architecture & Engineering
  • - 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
  • Delivery & Execution
  • - Lead large, distributed engineering and delivery teams across AI, backend, data, cloud, and DevOps
  • - 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
  • Governance, Risk & Value Realization
  • - 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
  • Market & Practice Growth
  • - 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

Who we are looking for

Qualifications:

  • 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
  • Engineering & Delivery
    • - Proven success leading prototype-to-production programs with CI/CD, cloud-native architecture, and DevOps
    • - Experience defining enterprise governance frameworks for AI-driven systems
    • - Strong understanding of observability, performance benchmarking, and AI evaluation frameworks
  • Leadership & Communication
    • - Demonstrated ability to lead cross-functional engineering teams
    • - Strong executive communication skills—able to present architecture and delivery plans to senior stakeholders
    • - Track record of shaping practice capabilities, reusable assets, and market differentiation

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