Google Vertex AI SME
Location: remote (USA)
Contract
Overview
We are seeking a Subject Matter Expert (SME) with hands-on experience implementing Google Vertex AI Search for retail, specifically the Browse and Recommendations capabilities, to support client engagements involving personalized search, product discovery, and recommendation experiences.
Key Responsibilities
Design, configure, and implement Google Vertex AI Search solutions for retail/e-commerce clients, with a focus on Browse and Recommendations use cases
Lead technical discovery sessions to translate business requirements (merchandising rules, personalization goals, catalog structure) into Vertex AI Search configurations
Integrate Vertex AI Search with product catalogs, user event data, and existing e-commerce platforms (e.g., Salesforce Commerce Cloud, Shopify, or similar)
Tune and optimize recommendation models, ranking, and relevance for search and browse experiences
Provide architecture guidance on data pipelines feeding Vertex AI Search (product catalog sync, user events, click/conversion signals)
Troubleshoot performance, relevance, and integration issues
Serve as technical SME in client-facing discussions, POCs, and solution presentations
Document implementation patterns, best practices, and reusable accelerators
Required Qualifications
Proven hands-on experience implementing Google Vertex AI Search (formerly Retail Search/Recommendations AI) in production environments
Direct experience with Vertex AI Search's Browse and Recommendations features specifically (not just general search implementations)
Strong understanding of retail data models: product catalogs, user events, conversion tracking
Experience integrating Vertex AI Search with e-commerce platforms via APIs
Familiarity with Google Cloud Platform (Google Cloud Platform) services (BigQuery, Cloud Storage, IAM)
Working knowledge of ranking/relevance tuning, A/B testing for search/recommendation quality
Strong client-facing communication skills; ability to explain technical concepts to business stakeholders