Agentic Commerce Consultant/Manager - Mexico
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The Strategy & Consulting - Global Network - SONG practice is aligned to Accenture Song and works with clients across their marketing, commerce/sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, commerce/sales, and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner.
What’s in it for you
Lead large-scale commerce implementations where Agentic AI is embedded into real-world platforms (Salesforce, Adobe, SAP, composable/MACH stacks)
Shape Accenture Song’s Agentic Commerce engineering standards, accelerators, and reusable assets
Own end-to-end delivery—from architecture and roadmap through build, rollout, and value realization
Work with global clients across B2C, B2B, and B2B2C commerce
Grow engineering leaders and multidisciplinary teams across AI, backend, cloud, and commerce platforms
What you will do in this role
As an Agentic Consultant/Manager in Customer Technology – Commerce, you will own the architecture, delivery, and scaling of Agentic Commerce implementations, ensuring AI-driven capabilities are production-ready, secure, and tightly integrated with enterprise commerce ecosystems.
Commerce & Platform Leadership
Define and lead Agentic Commerce architecture patterns across composable and platform-led commerce implementations
Translate AI-driven commerce strategy into executable platform roadmaps aligned to Salesforce, Adobe, SAP, and MACH ecosystems
Lead prototype-to-production transformations, embedding agentic workflows into live commerce environments
Architecture & Engineering
Architect modular, reusable agent frameworks integrated with commerce engines, APIs, and backend services
Establish enterprise-grade standards for scalability, security, observability, and reliability of agentic systems
Drive build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and AI infrastructure
Delivery & Execution
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
Governance, Risk & Value Realization
Embed policy-driven architecture including governance, compliance, auditability, and explainability
Define technical and business KPIs to measure agent performance, conversion uplift, operational efficiency, and ROI
Establish human-in-the-loop and feedback mechanisms to continuously improve agent effectiveness
Market & Practice Growth
Create industry-specific POVs, demos, and proposal assets for Agentic Commerce implementations
Sponsor internal accelerators, reference architectures, and reusable components
Engage C-suite and senior client stakeholders, translating complex architectures into business outcomes
Qualifications:
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields
Manager: 12+ years of experience delivering enterprise-scale commerce and digital platforms
Consultant: 5+ years of experience delivering enterprise-scale commerce and digital platforms
Proven leadership across complex, multi-region programs
Advanced english level
Availability to travel may be required
Deep experience implementing enterprise commerce platforms (Salesforce Commerce, Adobe Commerce, SAP Commerce, or composable/MACH stacks)
Strong hands-on leadership in agentic AI architectures embedded into production systems
Expertise in API-led, microservices-based architectures supporting distributed commerce systems
Experience integrating LLMs, RAG pipelines, vector databases, and contextual memory into enterprise platforms
Proven success leading prototype-to-production programs with CI/CD, cloud-native architecture, and DevOps
Experience defining enterprise governance frameworks for AI-driven systems
Strong understanding of observability, performance benchmarking, and AI evaluation frameworks
#LI-LATAM
Mexico City
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