Agentic Commerce Engineering Specialist | Products

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 AI-powered commerce capabilities that are production-ready, secure, and integrated with enterprise commerce ecosystems. The role works under the direction of Managers and Senior Managers, helping embed agentic workflows into live commerce environments and contributing to solution components from build through rollout and value realization. The position involves developing and configuring solutions across Salesforce, Adobe, SAP, and composable/MACH commerce ecosystems. The specialist builds reusable agent components and integrations with commerce engines, APIs, backend services, LLM platforms, orchestration frameworks, and vector stores. Work is carried out within engineering pods spanning AI, backend, data, cloud, and DevOps, and includes support for CI/CD pipelines, cloud-native deployments, containerized workloads, and integrations with CRM, CDP, payments, order management, pricing, and fulfillment systems. The role also applies governance, compliance, auditability, explainability, scalability, security, observability, and reliability requirements to engineering work. The specialist instruments and reports technical KPIs, supports human-in-the-loop and feedback mechanisms, contributes to internal accelerators and documentation, collaborates with client and team stakeholders, and continues developing expertise across commerce platforms and agentic AI.

Requirements

At least 3 years of experience building commerce or digital platform solutions.
Hands-on experience developing on 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 Products industry (Retail, CP&G, or Life Sciences).

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 solutions 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 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.
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.