Technical Commerce & AI Consultant
Role details
Job location
Tech stack
Job description
- 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.
Requirements
- 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.
Benefits & conditions
Be an Early Applicant In-Office Security, CO, USA 64K-196K Annually Mid level In-Office Security, CO, USA 64K-196K Annually Mid level Design and build AI-powered commerce solutions using Generative AI, ensuring scalable and secure deployments within customer technology ecosystems, while collaborating with teams and clients to meet business objectives. The summary above was generated by AI
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., 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 06/14/2026. 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 Cleveland $59,100 to $156,800 Colorado $63,800 to $169,300 District of Columbia $68,000 to $180,300 Illinois $59,100 to $169,300 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 Washington $80,200 to $180,300, 59 Minutes Ago In-Office 14-25 Hourly Entry level 14-25 Hourly Entry level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Provide personal care, assist with daily living activities, support household tasks, monitor client condition, and ensure a safe environment. Optum, 59 Minutes Ago In-Office 14-25 Hourly Entry level 14-25 Hourly Entry level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics The Home Health Aide provides personal care, assists with daily living activities, supports household tasks, documents client conditions, and ensures a safe environment for clients. Optum
Account Executive
59 Minutes Ago In-Office 60K-130K Annually Mid level 60K-130K Annually Mid level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics The Account Executive will oversee specialty product sales, advocating for employer-paid and voluntary products while collaborating with brokers, conducting presentations, and developing sales strategies to achieve market goals.
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