Agentic Commerce Architecture & Delivery Manager | Products

Accenture•Arlington, TX

10d•$80,400 - $293,800

About The Position

As a Manager in Accenture Song’s Customer Technology – Commerce practice, this role leads the design, delivery, and scaling of Agentic Commerce workstreams. It embeds agentic AI capabilities into real-world enterprise commerce platforms and ensures solutions are production-ready, secure, and integrated with commerce ecosystems such as Salesforce, Adobe, SAP, and composable/MACH stacks. The role owns solution components and workstreams from design and build through rollout and value realization, serving clients across B2C, B2B, and B2B2C commerce. The manager designs reusable agent frameworks, applies enterprise engineering standards, and oversees engineering and delivery teams across AI, backend, data, cloud, and DevOps. The position also contributes to AI governance, measurement of technical and business outcomes, client engagement, practice assets, and reusable architecture patterns. Accenture describes the role as part of a practice that combines commerce platforms, customer data, marketing technology, and AI-powered decisioning to enable personalized and intelligent customer experiences.

Requirements

At least 7 years of experience delivering enterprise-scale commerce and digital platforms.
Hands-on experience implementing enterprise commerce platforms such as 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 Products, such as Retail, CP&G, or Life Sciences.

Nice To Haves

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 and ability to present designs and delivery plans to senior stakeholders.
Track record of contributing to reusable assets and practice capabilities.

Responsibilities

Lead the design, delivery, and scaling of Agentic Commerce workstreams and ensure AI capabilities are production-ready, secure, and integrated with enterprise commerce ecosystems.
Apply and extend Agentic Commerce architecture patterns across composable and platform-led commerce implementations.
Translate AI-driven commerce designs into executable build plans aligned with Salesforce, Adobe, SAP, and MACH ecosystems.
Drive prototype-to-production efforts and embed agentic workflows into live commerce environments.
Design modular, reusable agent frameworks integrated with commerce engines, APIs, and backend services.
Apply enterprise standards for scalability, security, observability, and reliability of agentic systems.
Contribute to build-versus-buy evaluations for 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 integrations with CRM, CDP, payments, order management, pricing, and fulfillment systems.
Implement policy-driven architecture for governance, compliance, auditability, and explainability.
Track technical and business KPIs for agent performance, conversion uplift, operational efficiency, and ROI.
Operate human-in-the-loop and feedback mechanisms to improve agent effectiveness.
Contribute to industry-specific points of view, demos, and proposal assets for Agentic Commerce implementations.
Build and enhance internal accelerators, reference architectures, and reusable components.
Engage senior client stakeholders and translate architectures into delivery outcomes.
Grow and mentor multidisciplinary engineering teams.
Contribute to Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets.