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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Commerce & AI Consultant - **Company:** Accenture - **Location:** San Diego, CA, United States - **Contract:** Permanent contract - **Skills:** Adobe Creative Cloud, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, Customer Data Management, Data Cleansing, Distributed Systems, Memory Management, Knowledge-Based Systems, Performance Tuning, Redis, Salesforce.Com, SAP (Applications), SAP Customer Experience, Data Logging, Google Cloud, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Backend, Fastapi, Build Management, Adobe, Data Management, Virtual Agents, Databricks - **Published:** September 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/technical-commerce-ai-consultant-agentic-commerce-san-diego-ca--a5d3b97f-b584-42a8-8bf2-226af45bc54b ## About the Role 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 ## Description 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.