Technical Commerce & AI Consultant | Agentic Commerce

Accenture PLC; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Travel up to 50%

Residence within 90 minutes of an Accn

Job summary

Accenture Song in New York seeks an Agentic Commerce & AI Consultant to design and build AI-powered commerce solutions using Generative AI and multi-agent orchestration. You will take ownership of solution components, ensuring scalable, secure deployments within client technology ecosystems.

You will work across personalization, merchandising, campaign orchestration, conversational commerce, and digital customer engagement platforms, partnering with cross-functional teams to deliver business

Qualifications

• Proficiency in Python and SQL with hands-on AI deployment experience.
• Experience with multi-agent orchestration and prompt engineering.
• Experience integrating AI with enterprise APIs and backend platforms.
• Ability to translate AI architectures into business value.
• Familiarity with cloud platforms and data pipelines.

Responsibilities

• Design and implement Agentic AI systems for intelligent decision workflows.
• Develop multi-agent architectures coordinating planners, retrievers, reasoning agents, predictive models, and optimization components.
• Lead data preparation and semantic modeling for commerce use cases.
• Collaborate with clients and cross-functional teams to deliver ROI and value narratives.

Skills

Python

SQL

Generative AI

Agentic AI

LangChain

FastAPI

AWS/Azure/GCP

Tools

Databricks

Redis

Kubernetes

CI/CD

Adobe Commerce

Salesforce Commerce

SAP CX

Job description

• Personalization engines
• Bias awareness

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

• Chicago, IL
• Albany, NY
• Arlington, VA
• Atlanta, GA
• Austin, TX
• Beaverton, OR
• Bentonville, AR
• Boston, MA
• Carmel, IN
• Charlotte, NC
• Cincinnati, OH
• Cleveland, OH
• Columbus, OH
• Culver City, CA
• Denver, CO
• Des Moines, IA
• Detroit, MI
• Hartford, CT
• Houston, TX
• Irvine, CA
• Irving, TX
• Kirkland, WA
• Miami, FL
• Milwaukee, WI
• Minneapolis, MN
• Morristown, NJ
• Mountain View, CA
• Nashville, TN
• New York City, NY
• Oklahoma City, OK
• Overland Park, KS
• Philadelphia, PA
• Pittsburgh, PA
• Raleigh, NC
• Redmond, WA
• Sacramento, CA
• San Diego, CA
• San Francisco, CA
• Scottsdale, AZ
• Seattle, WA
• St. Louis, MO
• St. Petersburg, FL
• Walnut Creek, CA

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