Agentic Commerce Architect

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, our Commerce & AI practice helps organisations design, build, and scale modern digital commerce ecosystems - embedding Generative AI and Agentic AI into commerce to enable real-time personalisation, autonomous merchandising, and intelligent customer engagement at scale.

Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, our Commerce & AI practice helps organisations design, build, and scale modern digital commerce ecosystems - embedding Generative AI and Agentic AI into commerce to enable real-time personalisation, autonomous merchandising, and intelligent customer engagement at scale.

We are entering an exciting era of agentic commerce where AI agents, conversational interfaces, and intelligent systems are reshaping how people discover, evaluate, and buy online. We are looking for technically strong architects who can help design and deliver the systems that make this real - working at the intersection of enterprise commerce platforms and emerging agentic AI technologies.

You are an experienced technical architect with hands‑on delivery experience across enterprise commerce platforms and a growing, demonstrable specialism in Generative AI and agentic systems. You are comfortable owning the technical design of a solution workstream, making well-reasoned build vs. buy decisions, and translating complex architecture into clear recommendations for both engineering teams and senior client stakeholders.

You do not need to have designed enterprise-scale agentic systems end-to-end, but you must have meaningful hands‑on experience with the core components: LLM-powered applications, RAG architectures, agent frameworks, and enterprise platform integration. You are intellectually curious, technically rigorous, and energised by working at the frontier of what is currently possible in commerce AI.

• Owning the technical architecture of agentic commerce solution work streams within enterprise delivery programmes, designing system components, integration patterns, and ensuring the overall technical approach is sound, scalable, and aligned to client constraints.
• Designing and documenting agentic AI solution architectures — including multi-agent patterns, LLM-powered applications, retrieval-augmented generation (RAG) systems, and orchestration pipelines applied to commerce use cases such as personalisation, conversational commerce, intelligent search, and merchandising optimisation
• Architecting the integration between agentic AI systems and enterprise platforms — including OMS, PIM, CRM, payments, and fulfilment — via APIs, event-driven patterns, and emerging agentic protocols
• Contributing to build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and relevant commerce platforms — bringing a well-reasoned technical point of view grounded in delivery experience
• Designing the knowledge and data architecture that underpins agent intelligence — including embedding pipelines, vector retrieval, semantic search and structured product data — ensuring agent outputs are accurate, grounded, and commercially reliable
• Embedding AI governance, observability, and responsible AI principles into architecture design — including audit logging, human-in-the-loop escalation points, and performance monitoring — as first‑class concerns rather than an afterthoughts
• Providing technical leadership to delivery teams — guiding engineers, reviewing technical decisions, and…