Agentic AI Commerce Search Architect

In this role you will lead the design and delivery of AI-powered commerce search and discovery on Google's AI stack, shaping agentic commerce experiences for real-time personalization and scalable merchandising. You will bridge enterprise commerce platforms with Vertex AI, Gemini Enterprise, and related tools to deliver production-grade AI systems. You will guide technical decisions, present options to stakeholders, and contribute to Accenture Song’s AI commerce capability. This is a hands-on, architecture-focused opportunity at the intersection of commerce and AI.

• up to 30 days of leave
• 3 extra volunteering days per year
• family-friendly and flexible work policies
• pension plan
• private healthcare insurance
• Mental Wellbeing support

• Own the technical design of AI-powered commerce search and discovery on Vertex AI Search for Commerce, focusing on relevance, ranking, retrieval, and query understanding.
• Design on-platform agentic commerce experiences using Gemini Enterprise, Google Cloud Agents, and Vertex AI Agent Builder / ADK.
• Define knowledge and data architecture for AI systems, including embedding pipelines, vector retrieval, and semantic search grounded in commerce data.
• Architect integration between Google AI surfaces and the enterprise stack (OMS, PIM, DAM, CRM, payments, fulfilment) via APIs and event-driven patterns.
• Lead GEO / AEO and AI-native discoverability design to ensure brand visibility and accuracy across AI surfaces.
• Contribute to build-vs-buy decisions on Google AI services, LLM choices, orchestration frameworks, and vector stores with delivery experience.
• Embed AI governance, observability, and responsible AI into design (audits, grounding controls, safety, monitoring).
• Provide technical leadership to delivery teams, reviewing decisions and maintaining architectural coherence.
• Lead architecture reviews with clients, presenting trade-offs and outcomes to technical and non-technical audiences.
• Support Accenture Song’s AI commerce capability through reference architectures, accelerators, and delivery perspectives.

• ≈6 years in technical architecture, solution engineering, or software engineering with enterprise platforms and AI specialization.
• Hands-on experience designing and delivering AI-powered search, discovery, or recommendation systems (relevance, ranking, retrieval, query understanding).
• Direct experience with Google Cloud AI platforms for commerce (Vertex AI Search for Commerce, Gemini Enterprise, Vertex AI Agent Builder / ADK, or Customer Engagement Suite).
• Hands-on with Generative AI and agentic systems (LLM design, RAG) and at least one agent framework (e.g., LangGraph, LangChain, LlamaIndex, CrewAI).
• Experience building data/context pipelines for AI (embedding pipelines, vector databases, semantic search over structured commerce data).
• Delivery experience on at least one major enterprise commerce platform (Salesforce Commerce Cloud, Adobe Commerce, Commercetools, SAP Commerce) and integration with surrounding systems.
• Familiarity with agentic commerce protocols (MCP, A2A, ACP) and connecting AI agents to commerce data.
• Knowledge of cloud-native services and CI/CD (GCP preferred).
• Understanding of AI governance, observability, tracing, grounding, and guardrails in production AI.
• Experience leading technical design sessions and presenting to senior client or stakeholder audiences.

• leadership
• clear communication
• stakeholder management
• Vertex AI Search for Commerce
• Gemini Enterprise (GECX)
• Vertex AI Agent Builder / ADK