Agentic Commerce Architecture & Delivery Manager | Communications, Media, & Technology
$94k - $294k • Remote • Chicago, Accenture Tower, Corp
Posted 1d ago
Job Location
Chicago, Accenture Tower, Corp
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
Accenture Song's 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. As a Manager in Customer Technology – Commerce, you will lead the design, delivery, and scaling of Agentic Commerce workstreams, ensuring AI-driven capabilities are production-ready, secure, and well integrated with enterprise commerce ecosystems.
Responsibilities
- Lead delivery of Agentic Commerce workstreams where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks).
- Contribute to Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets.
- Own delivery of solution components and workstreams—from design through build, rollout, and value realization.
- Work with global clients across B2C, B2B, and B2B2C commerce.
- Grow and mentor multidisciplinary engineering teams across AI, backend, cloud, and commerce platforms.
- Apply and extend Agentic Commerce architecture patterns across composable and platform-led commerce implementations.
- Translate AI-driven commerce designs into executable build plans aligned to Salesforce, Adobe, SAP, and MACH ecosystems.
- Drive prototype-to-production efforts, embedding agentic workflows into live commerce environments.
- Design modular, reusable agent frameworks integrated with commerce engines, APIs, and backend services.
- Apply enterprise-grade standards for scalability, security, observability, and reliability of agentic systems.
- Contribute to build vs. buy evaluations across LLM platforms, orchestration frameworks, vector stores, and AI infrastructure.
- Manage engineering and delivery pods across AI, backend, data, cloud, and DevOps.
- Implement CI/CD, cloud-native deployments, and Kubernetes-based scaling on Azure, AWS, or GCP.
- Deliver integration with CRM, CDP, payments, order management, pricing, and fulfillment systems.
- Implement policy-driven architecture including governance, compliance, auditability, and explainability.
- Track technical and business KPIs measuring agent performance, conversion uplift, operational efficiency, and ROI.
- Operate human-in-the-loop and feedback mechanisms to continuously improve agent effectiveness.
- Contribute to industry-specific POVs, demos, and proposal assets for Agentic Commerce implementations.
- Build and enhance internal accelerators, reference architectures, and reusable components.
- Engage senior client stakeholders, translating architectures into delivery outcomes.
Requirements
- 7+ years of experience delivering enterprise-scale commerce and digital platforms.
- Hands-on experience implementing enterprise commerce platforms (Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks).
- Hands-on experience building agentic AI capabilities integrated into production systems.
- Strong knowledge of API-led, microservices-based architectures supporting distributed commerce systems.
- Experience integrating LLMs, RAG pipelines, vector databases, and contextual memory into enterprise platforms.
- Industry expertise in CMT Industry.
- Proven success delivering prototype-to-production work with CI/CD, cloud-native architecture, and DevOps.
- Experience applying enterprise governance frameworks for AI-driven systems.
- Solid understanding of observability, performance benchmarking, and AI evaluation frameworks.
- Demonstrated ability to lead and mentor cross-functional engineering teams.
- Strong communication skills—able to present designs and delivery plans to senior stakeholders.
- Track record of contributing to reusable assets and practice capabilities.
Benefits
- medical, dental, vision, life, and long-term disability coverage
- a 401(k) plan
- bonus opportunities
- paid holidays
- paid time off
