Technical Commerce & AI Consultant | Agentic Commerce

About Accenture Song – Customer Technology, CommerceAccenture 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.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 RoleAs 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 DevelopmentDesign and implement Agentic AI systems enabling intelligent decision workflows across:Personalization enginesMerchandising optimizationCampaign orchestrationConversational commerceDigital customer engagement platformsDevelop 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 EngineeringDefine 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 modelsLLM reasoningDecision APIsEnterprise tools and backend servicesEnsure scalable integration within digital commerce platforms (e.g., Adobe Commerce, Salesforce Commerce, SAP CX, composable commerce architectures).Cloud & DeploymentLeverage 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 OptimizationApply Responsible AI principles including:Structured tool accessContext governanceLogging and traceabilityBias awarenessDrift detectionImplement LLM evaluation metrics, structured testing frameworks, and observability standards.Continuously optimize multi-agent systems for scalability, reliability, and commercial impact.Consulting & Client EngagementCollaborate 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.Travel: As required for client support up to 50%Location: Primary residency within 90 minutes of an approved Accenture officeWho We Are Looking For4+ years of experience building scalable AI or data-driven systems, preferably within digital commerce, MarTech, or customer technology ecosystems. Experience should include: Strong proficiency in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI solutions.Experience working with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).Experience designing prompt flows, multi-agent orchestration pipelines, and schema-driven tool invocation (e.g., MCP or similar standards).Experience integrating AI systems with enterprise APIs and backend commerce platforms.Hands-on experience with FastAPI, AWS/Azure/GCP, and Databricks.Experience working with vector databases and retrieval-augmented architectures.Understanding of Responsible AI principles and production monitoring standards.Working knowledge of cloud-native architectures, containerization, and CI/CD pipelines.Strong communication skills with the ability to translate advanced AI concepts into business value.Structured problem-solving skills and ability to build scalable, client-ready solutions.Experience with designing of a semantic layer and knowledge graphExperience with prompt engineering Requesting an AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. 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