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 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/02/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role Location Annual Salary Range

California $70,350 to $196,000

Colorado $63,800 to $169,300

Connecticut $63,800 to $169,300

District of Columbia $68,000 to $180,300

Illinois $59,100 to $169,300

Maine $54,400 to $144,300

Maryland $63,800 to $169,300

Massachusetts $63,800 to $180,300

Minnesota $63,800 to $169,300

New York $66,300 to $196,000

New Jersey $68,000 to $196,000

Ohio $59,100 to $156,800

Virginia $59,100 to $180,300

Washington $80,200 to $180,300

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