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
Build Agentic Commerce capabilities where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks)
Contribute to Accenture Song’s Agentic Commerce accelerators and reusable assets
Help deliver solution components—from 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 capabilities—developing AI-driven features that are production-ready, secure, and integrated with enterprise commerce ecosystems—working 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
Basic Qualifications
3+ years of experience building commerce or digital platform solutions with hands-on experience developing on at least one enterprise commerce platform (Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks) with exposure to agentic AI or Generative AI features integrated into applications
Working knowledge of API-led, microservices-based architectures
1+ year of experience working in the CMT Industry.
Preferred Qualifications
Familiarity with LLMs, RAG pipelines, or vector databases is a plus
Experience contributing to delivery using CI/CD, cloud-native architecture, and DevOps practices
Awareness of governance considerations for AI-driven systems
Understanding of observability and testing fundamentals
Ability to work effectively within cross-functional engineering teams
Clear communication skills—able to explain…