Agentic Commerce Architecture & Delivery Manager | Products

Accenture•Arlington, TX

9d•$80,400 - $266,300•Remote

About The Position

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.

Requirements

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 Products (Retail, CP&G, Life Sciences) Industry

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

Responsibilities

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
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.
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
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
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
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
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