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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 integral clients across B2C, B2B, and B2B2C commerce

- Grow engineering leaders and multidisciplinary teams across AI, backend, cloud, and commerce platforms

Roles & Responsibilities:

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 Location: Mexico City or Monterrey

Qualifications:

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

- 12+ 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

Additional Information:

Relocation Options: Candidates based in cities other than Mexico City or Monterrey can be considered, but Accenture regrets it does not cover relocation expenses for this position.

International Considerations: Foreign candidates can be considered but Accenture regrets that it is unable to sponsor employment Visas for this position.

#LI-LATAM

📌 Agentic AI Commerce Manager - Mexico (México)
🏢 Accenture
📍 México