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Agentic Commerce Architecture & Delivery Manager | Communications, Media Technology

Job in Boston, Erie County, New York, 14025, USA
Listing for: Accenture
Full Time position
Listed on 2026-10-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Software Architect
Job Description & How to Apply Below
Position: Agentic Commerce Architecture & Delivery Manager | Communications, Media, & Technology
Location: Boston

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 t’s in it for youLead delivery of Agentic Commerce work streams 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 work streams—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 work streams, 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 Dev Ops Implement  CI/CD, cloud-native deployments, and Kubernetes-based scaling on Azure, AWS, or GCPDeliver 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 ROIOperate 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…
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