Agentic Commerce Engineering Specialist | Communications, Media, & Technology

Accenture•Chicago, IL

About The Position

As a Consultant in Accenture Song’s Customer Technology – Commerce practice, the Agentic Commerce Engineering Specialist builds and supports production-ready, secure AI-driven commerce capabilities integrated with enterprise commerce ecosystems. The role works under the direction of Managers and Senior Managers and contributes to delivery for clients across B2C, B2B, and B2B2C commerce. The position implements Agentic Commerce features using established architecture patterns across composable and platform-led commerce environments, including Salesforce, Adobe, SAP, and MACH ecosystems. It develops modular, reusable agent components integrated with commerce engines, APIs, and backend services, and supports prototype-to-production efforts that embed agentic workflows into live commerce environments. The role also contributes to engineering pods spanning AI, backend, data, cloud, and DevOps; supports CI/CD pipelines and cloud-native deployments; and builds and tests integrations with enterprise systems such as CRM, CDP, payments, order management, pricing, and fulfillment. It applies governance, compliance, auditability, explainability, scalability, security, observability, and reliability practices, while instrumenting technical KPIs and supporting human-in-the-loop feedback mechanisms. The specialist contributes to internal accelerators, reference components, and technical documentation, collaborates with client and team stakeholders, and continues building expertise while supporting junior team members.

Requirements

At least 3 years of experience building commerce or digital platform solutions.
Hands-on development experience with at least one enterprise commerce platform: Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks.
Exposure to agentic AI or Generative AI features integrated into applications.
Working knowledge of API-led, microservices-based architectures.
At least 1 year of experience working in the Communications, Media, and Technology (CMT) industry.

Nice To Haves

Familiarity with LLMs, RAG pipelines, or vector databases.
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, including the ability to explain technical work to team members and stakeholders.
Eagerness to learn, grow expertise, and support junior team members.

Responsibilities

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 and embed agentic workflows into live commerce environments.
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.
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.
Apply governance, compliance, auditability, and explainability requirements in build work.
Instrument and report technical KPIs for agent performance and reliability.
Support human-in-the-loop and feedback mechanisms that improve agent effectiveness.
Contribute to internal accelerators, reference components, and technical documentation.
Collaborate with client and team working-level stakeholders to deliver features.
Continue building skills across commerce platforms and agentic AI, and mentor junior team members.