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. What’s in it for you 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 What you will do in this role 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. Commerce & Platform Delivery 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 Architecture & Engineering 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 Delivery & Execution 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 Governance, Risk & Value Realization 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 Market & Practice Growth 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 Basic Qualifications: 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 memory into enterprise platforms Industry expertise in CMT Industry Preferred Qualifications: 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 Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 10/05/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture ( Role Location Annual Salary Range California $94,400 to $266,300 Colorado $94,400 to $230,000 Connecticut $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maine $80,400 to $196,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York $87,400 to $266,300 New Jersey $100,500 to $266,300 Ohio $87,400 to $213,000 Virginia $87,400 to $245,000 Washington $100,500 to $245,000 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. 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