1 day ago
London, United KingdomStaff+
Responsibilities
- Own the technical design of AI-powered commerce search and discovery workstreams using Vertex AI Search for Commerce, including relevance tuning, ranking, retrieval, merchandising controls, and query understanding.
- Design agentic commerce experiences such as conversational commerce, guided shopping, personalization, next-best-action, and merchandising optimization on Google's AI stack.
- Design knowledge and data architecture using structured product data, embedding pipelines, vector retrieval, semantic search, and commerce-grounded RAG.
- Architect integrations between Google AI surfaces and enterprise commerce systems including OMS, PIM, DAM, CRM, payments, and fulfilment through APIs, event-driven patterns, and agentic protocols.
- Lead GEO, AEO, and AI-native discoverability design for product content across AI-driven discovery surfaces.
- Advise on build-versus-buy decisions involving Google AI services, LLMs, model choices, orchestration frameworks, and vector stores.
- Embed AI governance, observability, audit logging, human escalation, grounding controls, brand safety, and performance monitoring into solution designs.
- Provide technical leadership to delivery teams, guide engineers, review decisions, and maintain architectural coherence.
- Lead technical workshops and architecture reviews with technical and non-technical client stakeholders.
- Contribute to reference architectures, accelerators, proposals, and points of view for Accenture Song's AI commerce capability.
Requirements
- Approximately 6 years of professional experience in technical architecture, solution engineering, or software engineering.
- Hands-on production experience designing and delivering AI-powered search, discovery, or recommendation systems involving relevance, ranking, retrieval, and query understanding.
- Hands-on experience applying Google Cloud AI platforms to commerce, including one or more of Vertex AI Search for Commerce, Gemini Enterprise, Vertex AI Agent Builder or ADK, and Customer Engagement Suite.
- Experience designing LLM-powered applications, retrieval-augmented generation, agentic systems, and at least one agent framework such as LangGraph, LangChain, LlamaIndex, or CrewAI.
- Experience building embedding pipelines, vector databases, and semantic search over structured commerce data.
- Hands-on delivery experience with at least one major enterprise commerce platform such as Salesforce Commerce Cloud, Adobe Commerce, Commercetools, SAP Commerce, or a composable or MACH-aligned stack.
- Familiarity with MCP, A2A, or ACP and their connections between AI agents, commerce systems, and product data.
- Working knowledge of cloud-native services and CI/CD-based delivery, preferably on GCP.
- Understanding of production AI governance and responsible AI practices including observability, tracing, auditability, grounding, and guardrails.
- Experience leading technical design sessions and presenting architecture options to senior clients or stakeholders.
- Preferred experience with GEO, generative engine optimization, AI-native search, Google's broader agent ecosystem, Model Garden, Agent Engine, AgentOps, grounding and RAG on enterprise data, and AgentOps or LLMOps practices.
- Preferred exposure to MACH principles, headless commerce, API-first design, technical proposals, reference architectures, delivery accelerators, consulting, or professional services.
Benefits
- Up to 30 days of annual leave plus 3 extra volunteering days.
- Family-friendly and flexible work policies.
- Attractive pension plan with financial wellbeing support.
- Private healthcare insurance and mental wellbeing support.
- Employee Assistance Programme, career development, and counselling.
- Generous parental leave offerings.
- London-based role requiring flexibility, mobility, and some in-person time onsite with clients and partners.
Tech Stack
Google CloudGoogle Cloud Platform
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.