Agentic Commerce Architecture & Delivery Manager

The Digital Asset Management Consortium, Inc.; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Accenture in the United States is seeking an Agentic Commerce Architecture & Delivery Manager to lead design, delivery, and scaling of agentic commerce workstreams, ensuring AI-driven capabilities are production-ready and integrated with enterprise commerce ecosystems.

You will drive architecture, engineering, governance, and delivery across CI/CD, cloud-native deployments, and multi-cloud environments, collaborating with senior stakeholders to achieve measurable ROI and operational excellence.

Qualifications

• 7+ years delivering enterprise-scale commerce and digital platforms.
• Hands-on experience implementing enterprise commerce platforms.
• Experience building agentic AI capabilities in production.
• Strong API-led, microservices architectures.
• CMT Industry domain experience.

Responsibilities

• Lead the design, delivery, and scaling of Agentic Commerce workstreams.
• Ensure AI-driven capabilities are production-ready, secure, and integrated with enterprise ecosystems.
• Manage engineering and delivery pods across AI, backend, data, cloud, and DevOps.
• Track technical and business KPIs, governance, and ROI.

Skills

Enterprise-scale delivery

API-led microservices

LLM integration

CI/CD & DevOps

Stakeholder leadership

Mentor cross-functional teams

Tools

Salesforce Commerce

Adobe Commerce

SAP Commerce

MACH stacks

Job description

Agentic Commerce Architecture & Delivery Manager

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 workstreams, 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 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

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 ROI
• Operate 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 into enterprise platforms
• Industry expertise in CMT Industry

Preferred Qualifications

• 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

Accenture

Various Locations, USA

Full-Time