Commerce Architecture & Delivery Senior Manager I Agentic Commerce

Responsibilities: Define and lead Agentic Commerce architecture patterns across composable and platform-led implementations Translate AI-driven commerce strategy into executable roadmaps aligned to major platforms (Salesforce, Adobe, SAP, MACH) Lead prototype-to-production transformations with agentic workflows in live commerce environments Architect modular, reusable agent frameworks integrated with engines, APIs, and backend services Establish enterprise-grade standards for scalability, security, observability, and reliability Drive build vs. buy decisions across LLMs, orchestration frameworks, vector stores, and AI infrastructure Lead large, distributed engineering and delivery teams across AI, backend, data, cloud, and DevOps Oversee CI/CD, cloud-native deployments, and Kubernetes-based scaling on Azure, AWS, or GCP Ensure seamless integration with CRM, CDP, payments, order management, pricing, and fulfillment systems Embed governance, compliance, auditability, and explainability Define KPIs to measure agent performance, conversion uplift, and ROI Establish human-in-the-loop and feedback mechanisms to improve agent effectiveness Create industry-specific POVs, demos, and assets for Agentic Commerce implementations Sponsor accelerators, reference architectures, and reusable components Engage executive stakeholders translating architectures into business outcomes

Key requirements: 12+ years delivering enterprise-scale commerce and digital platforms Experience leading Senior Manager level across multi-region programs Deep experience with enterprise commerce platforms (Salesforce Commerce, Adobe Commerce, SAP Commerce, or MACH) Hands-on leadership in agentic AI architectures in production API-led, microservices-based architectures for distributed commerce Experience integrating LLMs, RAG pipelines, vector databases, and contextual memory Knowledge of semantic layer and knowledge graph design Prompt engineering experience Prototype-to-production delivery with CI/CD and cloud-native architecture Governance frameworks for AI-driven systems; observability and performance benchmarking strong leadership of cross-functional teams excellent executive communication strategic collaboration with clients and stakeholders agentic AI architectures LLMs and RAG pipelines vector stores and contextual memory