Agentic Commerce Consultant - Mexico

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Let’s build a better future together!

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

Job Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields
• 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

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