Agentic AI Commerce Search Architect

Overview

In this role, you architect and deliver AI-powered commerce search and discovery experiences on Google Cloud, embedding agentic AI at scale. You’ll bridge enterprise commerce platforms with Google’s AI stack, shaping practical, production-grade AI solutions. Expect to lead technical design, influence build-vs-buy decisions, and collaborate with clients and delivery teams to achieve measurable commerce outcomes. You’ll innovate in search, personalization, and intelligent discovery within a mission-driven AI commerce practice.

Pay / Benefits

• annual performance bonus
• equity opportunities
• private healthcare
• mental wellbeing support
• family-friendly policies
• parity with flexible work arrangements

Responsibilities

• Own the technical design of AI-powered commerce search and discovery workstreams on Vertex AI Search for Commerce, focusing on relevance, ranking, retrieval, merchandising controls, and query understanding.
• Design broader on-platform agentic commerce experiences using Gemini Enterprise (GECX), Google Cloud Agents, and Vertex AI Agent Builder / ADK.
• Define knowledge and data architecture for AI systems—embedding pipelines, vector retrieval, semantic search, and RAG grounded in commerce data.
• Architect integrations between Google AI surfaces and enterprise systems (OMS, PIM, DAM, CRM, payments, fulfilment) via APIs and event-driven patterns.
• Lead GEO / AEO and AI-native discoverability design to ensure brands are visible and accurate in AI-driven discovery.
• Contribute to build-vs-buy decisions on Google AI services, LLM/model choices, and orchestration frameworks with a delivery-focused perspective.
• Embed AI governance and responsible AI practices—audit logging, human-in-the-loop escalation, grounding controls, brand safety, and performance monitoring.
• Provide technical leadership to delivery teams, guiding engineers and maintaining architectural coherence across workstreams.
• Run technical workshops and architecture reviews with client stakeholders, presenting trade-offs and business outcomes clearly.
• Support Accenture Song’s AI commerce capability by contributing to reference architectures, accelerators, and delivery perspectives.

Key requirements

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

• Strategic thinker with strong communication to both technical and non-technical audiences
• Collaborative and client-focused
• Decision-driven with ability to navigate trade-offs under constraints
• Vertex AI Search for Commerce
• Gemini Enterprise (GECX)
• Google Cloud Agents

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