At a Glance
- Tasks: Lead innovative projects integrating AI into digital commerce platforms.
- Company: Join Accenture Song, a leader in tech-driven customer experiences.
- Benefits: Enjoy competitive pay, health coverage, and flexible work options.
- Other info: Dynamic team environment with opportunities for mentorship and growth.
- Why this job: Make an impact by shaping the future of commerce with cutting-edge technology.
- Qualifications: 7+ years in enterprise commerce and AI integration required.
The predicted salary is between 94400 - 266300 $ per year.
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 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.
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.
- 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.
Agentic Commerce Architecture & Delivery Manager in Redmond employer: Accenture PLC
At Partners in Performance, part of Accenture, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. Our focus on human performance means you will have the opportunity to work closely with clients, driving meaningful change and delivering tangible results rather than just reports. With a commitment to employee growth through mentorship and diverse experiences, our ANZ office offers a unique environment where your insights can lead to impactful outcomes for some of the world's largest companies.
