Technical Commerce & AI Consultant - Agentic Commerce

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, 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

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: U.S. Employee Benefits | Accenture

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

#LI-NA

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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