Agentic Commerce Engineering Specialist | Products

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 Products (Retail, CP&G, Life Sciences) 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 technical work to team members and stakeholders

• Eagerness to learn, grow expertise, and support junior team members

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