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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic Commerce Consultant | Consumer Goods & Retail - **Company:** Accenture - **Location:** Kirkland, WA, United States - **Experience:** Experienced - **Salary:** $70,350.0 - $205,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Communications Protocols, Customer Data Management, Data Cleansing, Data Integration, Data Streaming, Web Platforms, Retrieval-Augmented Generation, Indexer, Information Technology, Data Analytics, Virtual Agents - **Published:** June 1, 2026 - **Apply:** https://seeker-sp.worksourcewa.com/jobview/GetJob.aspx?JobID=293452215 ## About the Role + 3+ years of experience in consulting or digital strategy experience in the Consumer Goods or Retail industry; experience must include the following: + Experience working on digital transformation, customer experience, or platform-related initiatives + Experience with AI-driven customer experiences, conversational interfaces, or emerging digital ecosystem trends + Understanding of digital marketing, content strategy, or product experience optimization + Experience collaborating with engineering leadership to prioritize AI-readiness initiatives on technical roadmaps Preferred Qualifications: + Bachelor's degree in Business, Marketing, Computer Science, Engineering, or a related field + Strong problem-solving and analytical skills + Excellent communication and presentation skills + Ability to translate complex concepts into clear, actionable recommendations + Passion for innovation and the future of consumer goods and retail + Comfortable with travel ## Description We are seeking a consultant to support the design and delivery of agentic commerce transformation initiatives for technology clients. This role will focus on helping consumer goods and retail companies adapt to a new model of customer engagement where AI-powered agents, conversational interfaces, and intelligent systems influence how products are discovered, evaluated, and transacted. As customer journeys evolve beyond traditional digital channels, organizations must rethink how their products, content, platforms, and data are structured to operate within AI-driven and ecosystem-based environments. This consultant will help prepare their data, digital platforms, and analytics capabilities to support next-generation customer experiences across digital channels, partner ecosystems, and emerging AI-driven environments. You will work across strategy, digital experience, content, platform integration, and data teams to help clients improve how their products show up across search, AI interfaces, and partner ecosystems, while ensuring readiness for agent-mediated interactions. The ideal candidate combines experience in digital strategy, consulting, and consumer goods/retail industry expertise with an interest in how AI and agent-based experiences are transforming customer journeys. Job Responsibilities Data Analysis & Preparation + Analyze product, customer, and digital experience data to identify trends and insights. + Assist in preparing datasets that support analytics, reporting, and personalization initiatives. + Support data cleansing, transformation, and validation processes to ensure data quality and reliability. Digital Platform & Data Integration Support + Support documentation of data flows and integration points between platforms and digital applications. + Assist in analyzing APIs, product data feeds, and service integrations used across ecosystems. + Collaborate with engineering teams to ensure data is structured and accessible across digital experiences. Agent Communication & Execution Readiness + Define standards for Agent Communication Protocols (ACP) and API readiness. + Partner with engineering to expose endpoints that support AI agent interaction. + Ensure feeds support real-time decisioning (inventory, pricing, shipping logic). + Build scalable frameworks for AI-assisted transactions. Retrieval & Indexation Optimization + Optimize structured data for RAG (Retrieval-Augmented Generation) environments. + Collaborate with GEO and content teams to ensure alignment between semantic layer and markup layer. + Reduce friction between presentation layer and structured layer. Monitoring & Technical Governance + Implement structured data QA and monitoring frameworks. + Identify gaps impacting citation eligibility or recommendation logic. + Establish governance standards for structured updates across markets. Security, Trust & Compliance + Ensure APIs and structured outputs align with privacy, compliance, and brand safety requirements. + Partner with legal and security teams to assess risk exposure in agentic integrations. Data & AI Readiness + Support structuring of product and customer data for analytics, personalization, and AI use cases. + Identify opportunities where data can enhance decision-making, recommendations, and customer experiences. + Collaborate with data teams to improve data accessibility across digital channels. Client Collaboration & Delivery Support + Work as part of a multidisciplinary consulting team delivering transformation initiatives for clients. + Support project teams with research, analysis, and documentation. + Assist in preparing client presentations, reports, and deliverables. + Participate in client workshops and working sessions to gather insights and requirements. + Contribute to internal knowledge sharing and capability development. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) - [Intelligence Everywhere: The Future of Consumer Tech](https://www.wearedevelopers.com/videos/1702-intelligence-everywhere-the-future-of-consumer-tech) - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)