About Accenture Song – Customer Technology, Commerce

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 up-to-date 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. What’s in it for you

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

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

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a r

📌 Agentic Commerce Architecture (Redmond)
🏢 Accenture
📍 Redmond