Agentic AI Commerce Search Architect

About the role

Accenture Song's Commerce & AI practice is looking for an Associate Manager-level architect to lead the design and delivery of Google-powered AI commerce experiences, centred on intelligent, AI-native search and discovery. The role sits at the intersection of enterprise commerce platforms and Google's agentic AI stack (Vertex AI Search for Commerce, Gemini Enterprise, Google Cloud Agents, Vertex AI Agent Builder / ADK, Customer Engagement Suite) and covers conversational commerce, personalization, merchandising optimization and AI-native discoverability. It is full time, based in London, with occasional onsite time with clients.

Key responsibilities

• Own the technical design of AI-powered search and discovery on Vertex AI Search for Commerce, including relevance tuning, ranking, retrieval, merchandising controls and query understanding.
• Design broader agentic commerce experiences (conversational commerce, guided shopping, personalization, merchandising optimization) using Gemini Enterprise, Google Cloud Agents and Vertex AI Agent Builder / ADK.
• Design the knowledge and data architecture: structured product data, embedding pipelines, vector retrieval, semantic search and RAG grounded in commerce intent.
• Integrate Google AI surfaces with the enterprise commerce stack (OMS, PIM, DAM, CRM, payments, fulfilment) via APIs, event-driven patterns and emerging agentic protocols (MCP, A2A, ACP).
• Lead GEO / AEO and AI-native discoverability design so brands stay visible and accurate in LLM-mediated discovery.
• Contribute to build-vs-buy decisions on Google AI services, LLMs and vector stores, and embed AI governance, observability and responsible AI into design.
• Guide engineers, review technical decisions, run architecture reviews with client stakeholders and contribute to reference architectures and accelerators.

Required profile

• Approximately 6 years of experience in technical architecture, solution engineering or software engineering, with a growing specialism in AI and agentic systems.
• Hands-on experience delivering AI-powered search, discovery or recommendation systems in production.
• Experience with at least one major enterprise commerce platform (Salesforce Commerce Cloud, Adobe Commerce, Commercetools, SAP Commerce or a MACH-aligned stack).
• Experience leading technical design sessions and presenting architecture options to senior client or stakeholder audiences.

Required skills

• Google Cloud AI platforms: Vertex AI Search for Commerce, Gemini Enterprise, Vertex AI Agent Builder / ADK, Customer Engagement Suite.
• Generative AI and agentic systems: LLM-powered applications, RAG and an agent framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI).
• Data pipelines for AI: embedding pipelines, vector databases, semantic search.
• Preferred: GEO, AgentOps / LLMOps, Model Garden, Agent Engine, AgentOps, and familiarity with MCP, A2A or ACP.

What we offer

• Competitive basic salary, annual performance bonus and equity opportunities.
• Up to 30 days of leave plus 3 extra volunteering days per year.
• Pension plan, private healthcare insurance and mental wellbeing support.
• Employee Assistance Programme, career development and counselling, parental leave and flexible work policies.