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Technical Commerce & AI Consultant | Agentic Commerce

Job in Beaverton, Washington County, Oregon, 97075, USA
Listing for: Accenture
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below
About Accenture Song - Customer Technology, Commerce

Accenture 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, Mar Tech 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

Who We Are Looking For

+  4+ years of experience building…
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