Agentic Commerce Architecture & Delivery Manager | Products

Accenture•Arlington, TX

About The Position

As a Manager in Accenture Song’s Customer Technology – Commerce practice, you will lead the design, delivery, and scaling of Agentic Commerce workstreams. You will ensure AI-driven capabilities are production-ready, secure, and integrated with enterprise commerce ecosystems, including Salesforce, Adobe, SAP, and composable/MACH stacks. The role spans solution design, engineering delivery, rollout, and value realization for global B2C, B2B, and B2B2C clients. You will design reusable agent frameworks and integrate them with commerce engines, APIs, and backend services; apply enterprise standards for scalability, security, observability, and reliability; and evaluate LLM platforms, orchestration frameworks, vector stores, and AI infrastructure. You will manage multidisciplinary delivery pods across AI, backend, data, cloud, and DevOps, and deliver cloud-native, CI/CD, and Kubernetes-based implementations on Azure, AWS, or GCP. The position also covers governance, compliance, auditability, explainability, human-in-the-loop feedback, and measurement of technical and business outcomes such as agent performance, conversion uplift, operational efficiency, and ROI. You will contribute to industry perspectives, demonstrations, proposals, internal accelerators, reference architectures, and reusable components, while engaging senior client stakeholders and mentoring engineering teams.

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, including 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, from design through build, rollout, and value realization.
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, 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-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 covering governance, compliance, auditability, and explainability.
Track technical and business KPIs, including 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 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.
Contribute to Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets.
Grow and mentor multidisciplinary engineering teams.