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Job Summary:
Accenture is a global professional services company, and they are seeking a Technical Commerce & AI Manager to lead the design, implementation, and scaling of AI solutions within digital commerce ecosystems. The role involves defining strategies, architecting systems, and driving enterprise adoption of AI technologies to enhance customer experiences and drive growth.
Responsibilities:
• 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.
• 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
• 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.
• Define governance models for autonomous and semi-autonomous commerce AI systems.
• Establish guardrails for:
• Responsible AI
• Bias monitoring
• Drift detection
• Explainability
• 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.
Qualifications:
Required:
• 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.
Company:
Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations. Founded in 1989, the company is headquartered in Dublin, IRL, with a team of 10001+ employees. The company is currently Late Stage.