Technical Commerce & AI Consultant Agentic Commerce

• 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.

• 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.

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 (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary RangeCalifornia $70,350 to $196,000Cleveland $59,100 to $156,800Colorado $63,800 to $169,300District of Columbia $68,000 to $180,300Illinois $59,100 to $169,300Maryland $63,800 to $169,300Massachusetts $63,800 to $180,300Minnesota $63,800 to $169,300New York $66,300 to $196,000New Jersey $68,000 to $196,000Washington $80,200 to $180,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

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., For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50) Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.