Agentic AI Commerce Search Architect

• ~6 years of professional experience in technical architecture, solution engineering, or software engineering — with meaningful delivery across enterprise platforms and a growing specialism in AI and agentic systems.
• Hands-on experience designing and delivering AI-powered search, discovery, or recommendation systems in production - relevance, ranking, retrieval, and query understanding.
• Demonstrable, hands-on experience with Google Cloud AI platforms applied to commerce - one or more of Vertex AI Search for Commerce, Gemini Enterprise (GECX), Vertex AI Agent Builder / ADK, or the Customer Engagement Suite.
• Hands-on experience with Generative AI and agentic systems - LLM-powered application design, retrieval-augmented generation (RAG), and at least one agent framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI).
• Experience designing and building data and context pipelines for AI systems -=embedding pipelines, vector databases, and semantic search over structured commerce data.
• Hands-on delivery on at least one major enterprise commerce platform - such as Salesforce Commerce Cloud, Adobe Commerce, Commercetools, SAP Commerce, or a composable / MACH-aligned stack - and a solid understanding of how these integrate with surrounding enterprise systems.
• Familiarity with emerging agentic commerce protocols - MCP, A2A, or ACP - and how they connect AI agents to commerce systems and product data.
• Working knowledge of cloud-native services and CI/CD-based delivery (GCP preferred).
• Understanding of AI governance and responsible AI - observability, tracing, auditability, grounding, and guardrails in production AI systems.
• Experience leading technical design sessions and presenting architecture options to senior client or stakeholder audiences.

• Familiarity with GEO (Generative Engine Optimization) and AI-native search — how product data must be structured and exposed to remain visible and accurate in LLM-mediated discovery.
• Experience with Google's broader agent ecosystem - Model Garden, Agent Engine, AgentOps, and grounding/RAG on enterprise data.
• Hands-on AgentOps / LLMOps practices - production monitoring, model evaluation, tracing, and continuous improvement for deployed AI systems.
• Exposure to composable commerce patterns - MACH principles, headless commerce, and API-first design - and how they enable flexible AI integration.
• Experience contributing to technical proposals, reference architectures, or delivery accelerators in a consulting or professional services context.

Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:

• Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
• Family-friendly and flexible work policies.
• Attractive pension plan with financial wellbeing support and resources.
• Private healthcare insurance plan and Mental Wellbeing support.
• Employee Assistance Programme, Career Development and Counselling.
• A range of generous Parental Leave offerings.

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.

Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.