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.
• Professional certifications in AI, machine learning, or related fields.
• Experience with Agile methodologies and project management tools.
• Knowledge of industry-standard AI frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with data modeling, data warehousing, and data analytics.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with natural language processing (NLP) and conversational AI.
• Experience with distributed systems and microservices architecture.
• Experience with DevOps practices and CI/CD pipelines.
• Experience with ethical AI principles and responsible AI practices.

Skills

• Deep understanding of AI and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Experience with AI ethics and fairness.
• Experience with AI governance and compliance.

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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

Pay

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

Schedule

Travel: As required for client support up to 50%