Technical Commerce & AI Manager | Agentic Commerce

Accenture•Columbus, OH

1d•Hybrid

About The Position

Accenture Song – Customer Technology, Commerce 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. This role will lead next-generation Agentic Commerce transformations, embedding AI-driven orchestration into digital commerce ecosystems, working at the intersection of commerce platforms, customer experience, data, and AI, delivering measurable revenue and growth outcomes. The role involves collaborating with cross-functional Song teams across Commerce, Marketing, Experience Design, and Customer Data Platforms, and shaping and scaling differentiated AI-powered commerce accelerators and reusable frameworks. The Manager will drive enterprise adoption of Agentic AI within omnichannel customer journeys and digital operating models.

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.

Responsibilities

Lead the design, implementation, and scaling of Generative AI and Agentic AI solutions embedded within digital commerce and customer technology ecosystems.
Combine deep technical expertise with consulting leadership to deliver growth-focused transformation programs.
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).
Design and lead development of multi-agent ecosystems that coordinate predictive models, optimization engines, LLM-driven reasoning, and decision APIs.
Embed AI into personalization engines, campaign management platforms, product recommendation systems, dynamic pricing and promotions, and conversational commerce interfaces.
Architect event-driven, API-first, cloud-native AI systems for real-time inference.
Define governance models for autonomous and semi-autonomous commerce AI systems.
Establish guardrails for Responsible AI, including bias monitoring, drift detection, explainability, and performance observability.
Ensure secure deployment aligned to enterprise risk and compliance policies.
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.
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.