What You Would Do in This RoleAs 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 12/11/2026.
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: https://www.accenture.com/us-en/careers/local/benefits
Role Location Annual Salary Range
California $70,350 to $235,100
Colorado $63,800 to $203,100
Connecticut $63,800 to $203,100
District of Columbia $68,000 to $216,300
Illinois $59,100 to $203,100
Maine $54,400 to $173,100
Maryland $63,800 to $203,100
Massachusetts $63,800 to $216,300
Minnesota $63,800 to $203,100
New York $66,300 to $235,100
New Jersey $68,000 to $235,100
Ohio $59,100 to $188,100
Virginia $59,100 to $216,300
Washington $80,200 to $216,300
