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Commerce Architecture & Delivery Senior Manager I Agentic Commerce

Accenture · Albany, New York Metropolitan Area · 2 mo 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.
    • 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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