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

Accenture•Chicago, IL

10d•$80,400 - $293,800

About The Position

As a Manager in Accenture Song’s Customer Technology – Commerce practice, lead the design, delivery, and scaling of Agentic Commerce workstreams. Ensure AI-driven capabilities are production-ready, secure, and integrated with enterprise commerce ecosystems. The role spans commerce and platform delivery, architecture and engineering, delivery execution, governance and value realization, and market and practice growth. Work across Salesforce, Adobe, SAP, and composable/MACH commerce stacks, embedding agentic workflows into live environments and translating designs into build plans. Design reusable agent frameworks and integrations with commerce engines, APIs, backend services, and enterprise systems. Manage multidisciplinary engineering and delivery teams, support cloud-native deployments, and implement governance and performance measurement. Engage senior client stakeholders and contribute to industry perspectives, proposals, accelerators, and reusable practice assets. Accenture is a global professional services company with approximately 791,000 people serving clients in more than 120 countries. Compensation varies by location and other factors. Listed annual salary ranges are: California $94,400–$293,800; Colorado $94,400–$253,800; Connecticut $94,400–$253,800; District of Columbia $100,500–$270,300; Illinois $87,400–$253,800; Maine $80,400–$216,200; Maryland $94,400–$253,800; Massachusetts $94,400–$270,300; Minnesota $94,400–$253,800; New York $87,400–$293,800; New Jersey $100,500–$293,800; Ohio $87,400–$235,000; Virginia $87,400–$270,300; and Washington $100,500–$270,300. The posting is anticipated to remain open until 12/06/2026. U.S. applicants must have work authorization that does not now or in the future require visa sponsorship.

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 the Communications, Media, and Technology (CMT) 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 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, ensuring AI-driven 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 to Salesforce, Adobe, SAP, and MACH ecosystems.
Drive prototype-to-production efforts by 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 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 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 across AI, backend, cloud, and commerce platforms.