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

Job Description

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 12/06/2026. 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 $293,800 Colorado $94,400 to $253,800 Connecticut $94,400 to $253,800 District of Columbia $100,500 to $270,300 Illinois $87,400 to $253,800 Maine $80,400 to $216,200 Maryland $94,400 to $253,800 Massachusetts $94,400 to $270,300 Minnesota $94,400 to $253,800 New York $87,400 to $293,800 New Jersey $100,500 to $293,800 Ohio $87,400 to $235,000 Virginia $87,400 to $270,300 Washington $100,500 to $270,300

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