Agentic Commerce Architecture & Delivery Manager | Communications, Media, & Technology

$94k - $294k • Remote • Chicago, Accenture Tower, Corp

Posted 1d ago

Remote Work Policy

Fully remote

Categories

AI Agent Engineer

About the job

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

Responsibilities

  • Lead delivery of Agentic Commerce workstreams 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 workstreams—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.
  • 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 DevOps.
  • 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.

Requirements

  • 7+ years of experience delivering enterprise-scale commerce and digital platforms.
  • 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 memory into enterprise platforms.
  • Industry expertise in CMT Industry.
  • Proven success delivering prototype-to-production work with CI/CD, cloud-native architecture, and DevOps.
  • Experience applying enterprise governance frameworks for AI-driven systems.
  • Solid understanding of observability, performance benchmarking, and AI evaluation frameworks.
  • Demonstrated ability to lead and mentor cross-functional engineering teams.
  • Strong communication skills—able to present designs and delivery plans to senior stakeholders.
  • Track record of contributing to reusable assets and practice capabilities.

Benefits

  • medical, dental, vision, life, and long-term disability coverage
  • a 401(k) plan
  • bonus opportunities
  • paid holidays
  • paid time off

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