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.

Whats in it for you

• Build Agentic Commerce capabilities where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks)
• Contribute to Accenture Songs Agentic Commerce accelerators and reusable assets
• Help deliver solution componentsfrom build through rollout and value realization
• Work with global clients across B2C, B2B, and B2B2C commerce
• Grow your engineering expertise across AI, backend, cloud, and commerce platforms, with mentorship from senior leaders

What you will do in this role

As a Consultant in Customer Technology Commerce, you will build and support Agentic Commerce capabilitiesdeveloping AI-driven features that are production-ready, secure, and integrated with enterprise commerce ecosystemsworking under the direction of Managers and Senior Managers.

Commerce & Platform Delivery

• Implement Agentic Commerce features using established architecture patterns across composable and platform-led commerce
• Configure and develop on Salesforce, Adobe, SAP, and MACH ecosystems in line with solution designs
• Support prototype-to-production efforts, helping embed agentic workflows into live commerce environments

Engineering & Build

• Develop modular, reusable agent components integrated with commerce engines, APIs, and backend services
• Follow enterprise-grade standards for scalability, security, observability, and reliability of agentic systems
• Implement integrations with LLM platforms, orchestration frameworks, and vector stores under guidance

Delivery & Execution

• Contribute to engineering pods across AI, backend, data, cloud, and DevOps
• Support CI/CD pipelines, cloud-native deployments, and containerized workloads on Azure, AWS, or GCP
• Build and test integrations with CRM, CDP, payments, order management, pricing, and fulfillment systems

Quality, Governance & Value

• Apply governance, compliance, auditability, and explainability requirements within build work
• Instrument and report technical KPIs for agent performance and reliability
• Support human-in-the-loop and feedback mechanisms that improve agent effectiveness

Growth & Collaboration

• Contribute to internal accelerators, reference components, and technical documentation
• Collaborate with client and team working-level stakeholders to deliver features
• Continuously build skills across commerce platforms and agentic AI, and mentor junior team members