Technical Commerce & AI Consultant

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.

WHAT’S IN IT FOR YOU?

• Work at the forefront of Agentic Commerce and Generative AI, building next-generation intelligent commerce ecosystems.
• Gain hands-on exposure to modern commerce platforms, composable architectures, CDPs, MarTech stacks, and AI orchestration frameworks.
• Collaborate with Song teams across Commerce, Experience, Marketing, and Data.
• Contribute to reusable accelerators and AI-driven commerce solution assets.
• Develop deep technical expertise and client-facing consulting skills within high-impact transformation programs.

What You Would Do in This Role

As an Agentic Commerce & AI Consultant, you will design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration frameworks. You will take ownership of solution components, ensuring scalable, secure, and business-aligned deployments within customer technology ecosystems.

Agentic Commerce Solution Development

• Design and implement Agentic AI systems enabling intelligent decision workflows across:
• Personalization engines
• Merchandising optimization
• Campaign orchestration
• Conversational commerce
• Digital customer engagement platforms
• Develop multi-agent architectures coordinating planners, retrievers, reasoning agents, predictive models, and optimization components.
• Build and operationalize retrieval-augmented generation (RAG) systems grounded in structured commerce knowledge, product taxonomies, business rules, and policy constraints.

Data & Orchestration Engineering

• Define and manage data, knowledge, and context pipelines to support effective agent reasoning.
• Lead data preparation, integration, validation, and semantic modeling for commerce use cases.
• Architect orchestration pipelines integrating:
• Predictive models
• LLM reasoning
• Decision APIs
• Enterprise tools and backend services
• Ensure scalable integration within digital commerce platforms (e.g., Adobe Commerce, Salesforce Commerce, SAP CX, composable commerce architectures).

Cloud & Deployment

• Leverage AWS, Azure, or GCP for scalable AI deployment and lifecycle management.
• Develop modular services using FastAPI and deploy production-ready solutions using containerized and CI/CD-based environments.
• Utilize Databricks for large-scale modeling workflows and AI experimentation.
• Integrate vector databases, distributed knowledge systems, and in-memory state management (e.g., Redis) for context-aware agent workflows.

Responsible AI & Performance Optimization

• Apply Responsible AI principles including:
• Structured tool access
• Context governance
• Logging and traceability
• Bias awareness
• Drift detection
• Implement LLM evaluation metrics, structured testing frameworks, and observability standards.
• Continuously optimize multi-agent systems for scalability, reliability, and commercial impact.

Consulting & Client Engagement

• Collaborate with cross-functional teams and clients to align AI implementations with business objectives.
• Support development of client-ready presentations, demos, and value narratives.
• Translate complex AI architectures into clear business outcomes and ROI impact.
• Contribute to knowledge assets, reusable accelerators, and best practices.
• Mentor junior analysts and support team capability development.

Adobe Product Family, Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Campaigns, Consulting, Consumer Branding, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Experience, Customer Relations, Customer/Client Research, Data Management, Develop and Maintain Customers, Distributed Computing, Ecosystems, GCP (Good Clinical Practices), Marketing, Memory Management, Mentoring, Merchandising, Microsoft Windows Azure, Model Validation, Organizational Development/Management, Performance Tuning/Optimization, Predictive Modeling, Pricing, Product Demonstration, Quality Metrics, Redis, Return on Investment (ROI), Revenue Growth, SAP, Sales Presentation, Salesforce.com, Systems Scalability, Taxonomies, Testing, Use Cases

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, the Customer Technology - Commerce practice helps organizations design, build, and scale modern digital commerce ecosystems that deliver personalized, seamless, and intelligent customer experiences.