Agentic Commerce Engineering Specialist | Communications, Media, & Technology

Accenture•Chicago, IL

10d

About The Position

As a Consultant in Accenture Song’s Customer Technology – Commerce practice, you will build and support Agentic Commerce capabilities by developing AI-driven features that are production-ready, secure, and integrated with enterprise commerce ecosystems. You will work under the direction of Managers and Senior Managers, helping clients design, build, and scale modern digital commerce ecosystems and embed Agentic AI into commerce operations. The role spans commerce platform delivery, engineering, and execution. You will configure and develop on Salesforce, Adobe, SAP, and composable/MACH ecosystems; build reusable agent components and integrations with commerce engines, APIs, backend services, LLM platforms, orchestration frameworks, and vector stores; and support prototype-to-production work. You will also contribute to engineering pods, CI/CD pipelines, cloud-native deployments, and integrations with CRM, CDP, payments, order management, pricing, and fulfillment systems. You will apply enterprise standards for scalability, security, observability, reliability, governance, compliance, auditability, and explainability. You will instrument and report technical KPIs, support human-in-the-loop and feedback mechanisms, contribute to internal accelerators and technical documentation, and collaborate with client and team stakeholders. The role offers opportunities to grow engineering expertise across AI, backend, cloud, and commerce platforms, with mentorship from senior leaders.

Requirements

At least 3 years of experience building commerce or digital platform solutions.
Hands-on development experience 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 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, embedding 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.