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# Technical Commerce & AI Consultant | Agentic Commerce

- **Company:** Accenture
- **Location:** Denver, CO, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Cleansing, Knowledge-Based Systems, Performance Tuning, Redis, Salesforce.Com, SAP Customer Experience, Data Logging, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Agentic-AI, Fastapi, Build Management, Adobe, Drift Detection, Evaluation of Large Language Models, Semantic Modeling, Databricks
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/technical-commerce-ai-consultant-agentic-commerce-denver-co--c2ddce6c-8e5f-4832-95ca-39b6e010a9e7

## About the Role

Artificial Intelligence (AI), Consulting, Customer Experience, Organizational Development/Management, Ecosystems, Merchandising, Campaigns, Revenue Growth, Customer/Client Research, Marketing

## 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