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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Commerce & AI Consultant - **Company:** Accenture - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $59,000.0 - $196,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Data Cleansing, Graph Database, Python (Programming Language), Knowledge-Based Systems, Performance Tuning, Redis, Salesforce.Com, SQL Databases, Strategies of Testing, SAP Customer Experience, Data Logging, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Fastapi, Adobe, Containerization, Data Analytics, Virtual Agents, Databricks - **Published:** September 26, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/technical-commerce-ai-consultant-agentic-commerce/11379028 ## About the Role * 4+ 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 graph + Experience with prompt engineering ## Description * 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. * Travel: As required for client support up to 50% * Location: Primary residency within 90 minutes of an approved Accenture office, Leads complex, multi-workstream product initiatives as a principal Product Owner. Owns product vision, strategy, backlog integrity, prioritization, and Scrum team alignment. Coordinates Product, Engineering, Design, Delivery, and other stakeholders; improves execution discipline, transparency, and outcome tracking. Stabilizes programs with fragmented ownership or elevated delivery risk while ensuring customer and business requirements are addressed. Requires substantial Product Owner or Senior Product Manager experience, preferably in payments or financial services. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Unlocking Value from Data: The Key to Smarter Business Decisions-](https://www.wearedevelopers.com/videos/1367-unlocking-value-from-data-the-key-to-smarter-business-decisions) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)