Technical Commerce & AI Manager | Agentic Commerce

About the role

Lead next-generation Agentic Commerce transformations, embedding AI-driven orchestration into digital commerce ecosystems.

Work at the intersection of commerce platforms, customer experience, data, and AI, delivering measurable revenue and growth outcomes.

Collaborate with cross-functional Song teams across Commerce, Marketing, Experience Design, and Customer Data Platforms.

Shape and scale differentiated AI-powered commerce accelerators and reusable frameworks.

Drive enterprise adoption of Agentic AI within omnichannel customer journeys and digital operating models.

Responsibilities

• Commerce AI Architecture & Strategy
• Define enterprise-level Agentic Commerce strategies, aligning AI orchestration with digital commerce roadmaps.
• Architect scalable, modular, and interoperable multi-agent systems across commerce platforms.
• Establish unified commerce data foundations across customer, product, transaction, behavioral, pricing, and operational datasets.
• Drive integration of AI decision engines into digital commerce platforms (e.g., Adobe Commerce, SAP CX, Salesforce Commerce, Composable Commerce architectures).
• Agentic AI Implementation & Orchestration
• Design and lead development of multi-agent ecosystems that coordinate:
• Predictive models
• Optimization engines
• LLM-driven reasoning
• Decision APIs
• Embed AI into:
• Personalization engines
• Campaign management platforms
• Product recommendation systems
• Dynamic pricing and promotions
• Conversational commerce interfaces
• Architect event-driven, API-first, cloud-native AI systems for real-time inference.
• Governance, Trust & Enterprise Readiness
• Define governance models for autonomous and semi-autonomous commerce AI systems.
• Establish guardrails for:
• Responsible AI
• Bias monitoring
• Drift detection
• Explainability
• Performance observability
• Cloud & Technology Delivery
• Lead deployment across AWS, Azure, or GCP environments.
• Utilize FastAPI for modular services and Databricks for scalable AI workflows.
• Integrate vector databases, distributed knowledge systems, and state management solutions (e.g., Redis).
• Ensure production readiness using CI/CD pipelines and Kubernetes-based deployment models.
• Consulting & Commercial Leadership
• Engage C-level and senior stakeholders to position Agentic Commerce as a growth accelerator.
• Develop executive presentations, value cases, roadmaps, and ROI models.
• Lead end-to-end delivery of Commerce AI programs including solution design, resource planning, governance, and risk management.
• Mentor consultants and build hands-on capability in Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
• Contribute to internal commerce AI accelerators and go-to-market offerings.

Requirements

• 8+ years of experience delivering transformation in digital commerce, customer technology, or marketing technology ecosystems.
• Strong expertise in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI in production.
• Experience embedding AI within commerce platforms, CDPs, CRM, or MarTech ecosystems.
• Proficiency with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
• Experience integrating AI with enterprise API gateways and composable commerce architectures.
• Expertise in prompt engineering, multi-agent orchestration, and tool invocation standards (e.g., schema-driven function execution, MCP).
• Practical experience with FastAPI, Databricks (AI/BI Genie, LLM-as-a-Judge, Mosaic AI Gateway), and cloud-native architectures.
• Familiarity with reinforcement learning, adaptive decision systems, and personalization engines.
• Proven success leading AI programs from design through enterprise deployment.
• Experience implementing Responsible AI frameworks and performance monitoring standards.
• Strong consulting leadership skills including stakeholder management, executive communication, and commercial solutioning.
• Experience managing cross-functional teams across Experience, Commerce, Data, and Engineering disciplines.
• Experience with designing of a semantic layer and knowledge graph
• Experience with prompt engineering

Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• PhD in Computer Science, Artificial Intelligence, Data Science, or related field preferred.
• Experience with Generative AI and Agentic AI technologies.
• Experience with Agile methodologies and project management tools.
• Experience with cloud-native architecture and DevOps practices.
• Experience with data modeling and data warehousing.
• Experience with machine learning and deep learning techniques.
• Experience with natural language processing and computer vision.
• Experience with distributed systems and microservices architecture.
• Experience with ethical AI principles and responsible AI practices.

Skills

• Python programming
• SQL database management
• Generative AI and Agentic AI technologies
• Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph)
• FastAPI for modular services
• Databricks for scalable AI workflows
• Vector databases, distributed knowledge systems, and state management solutions (e.g., Redis)
• CI/CD pipelines and Kubernetes-based deployment models
• Agile methodologies and project management tools
• Cloud-native architecture and DevOps practices
• Data modeling and data warehousing
• Machine learning and deep learning techniques
• Natural language processing and computer vision
• Distributed systems and microservices architecture
• Ethical AI principles and responsible AI practices

Benefits

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.

We anticipate this job posting will be posted until 06/23/2026.

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.

Pay

Annual Salary Range: $94,400 to $266,300

Schedule

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

• 8+ years of experience delivering transformation in digital commerce, customer technology, or marketing technology ecosystems.
• Strong expertise in Python and SQL, with hands-on experience deploying Generative AI and Agentic AI in production.
• Experience embedding AI within commerce platforms, CDPs, CRM, or MarTech ecosystems.
• Proficiency with Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
• Experience integrating AI with enterprise API gateways and composable commerce architectures.
• Expertise in prompt engineering, multi-agent orchestration, and tool invocation standards (e.g., schema-driven function execution, MCP).
• Practical experience with FastAPI, Databricks (AI/BI Genie, LLM-as-a-Judge, Mosaic AI Gateway), and cloud-native architectures.
• Familiarity with reinforcement learning, adaptive decision systems, and personalization engines.
• Proven success leading AI programs from design through enterprise deployment.
• Experience implementing Responsible AI frameworks and performance monitoring standards.
• Strong consulting leadership skills including stakeholder management, executive communication, and commercial solutioning.
• Experience managing cross-functional teams across Experience, Commerce, Data, and Engineering disciplines.
• Experience with designing of a semantic layer and knowledge graph
• Experience with prompt engineering

Additional Information

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