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# Technical Commerce & AI Consultant

- **Company:** Accommodation Accenture
- **Location:** Redmond, WA, United States
- **Experience:** Experienced
- **Salary:** $70,350 - $196,000
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Cleansing, Graph Database, Python (Programming Language), Knowledge-Based Systems, Performance Tuning, Redis, Salesforce.Com, SQL Databases, SAP Customer Experience, Data Logging, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Llamaindex, Generative AI, Backend, Agentic-AI, Fastapi, Build Management, Adobe, Containerization, CrewAI, Data Analytics, AutoGen, Drift Detection, Evaluation of Large Language Models, Semantic Modeling, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_accenturefeed-R00328353_en

## About the Role

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 Who We Are Looking For + 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 Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

## Description

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.