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Accenture

Advises businesses and runs their technology

Agentic Commerce Engineering Specialist - Products

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeChicago, IL, USAIn-person

About the Job

Requirements

  • At least 3 years of experience building commerce or digital platform solutions, including hands-on development on at least one enterprise commerce platform (Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks) and 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, such as Retail, CP&G, or Life Sciences.

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, helping 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.

Desired Qualifications

  • 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 to explain technical work to team members and stakeholders.
  • Eagerness to learn, grow expertise, and support junior team members.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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