4+ years of experience in scalable AI or data-driven systems, ideally in digital commerce or MarTech.
Proficient in Python and SQL, with hands-on experience in Generative AI and Agentic AI solutions.
Familiarity with Agentic AI frameworks like LangChain and LlamaIndex.
Experience in designing multi-agent orchestration pipelines and prompt flows.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and tools like FastAPI and Databricks.
Understanding of Responsible AI principles and production monitoring standards.
Strong communication skills to convey complex AI concepts into business outcomes.
Responsibilities
Design and implement AI systems for intelligent decision workflows in commerce.
Develop multi-agent architectures for coordinating various AI components.
Build retrieval-augmented generation systems based on structured commerce knowledge.
Define and manage data pipelines to support effective agent reasoning.
Architect orchestration pipelines integrating predictive models and decision APIs.
Leverage cloud platforms for scalable AI deployment and lifecycle management.
Collaborate with clients to align AI implementations with business objectives.
Benefits
Opportunity to work with cutting-edge AI technologies.
Collaborative environment with cross-functional teams.
Mentorship opportunities for junior analysts.
Travel opportunities for client engagement.
Access to knowledge assets and best practices.
Full Job Description
Technical Commerce & AI Consultant | Agentic Commerce
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:
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
About Accenture
Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
