Senior AI Engineer - Google Vertex AI (Search & Discovery)

As a highly experienced Google Vertex AI professional, your role will involve designing, configuring, and scaling intelligent search and discovery solutions for an e-commerce retail platform. Specifically, you will focus on implementing and optimizing Vertex AI Search for Commerce (SaaS) to deliver highly relevant, personalized, and high-performance search experiences on the TWC website, leveraging rich product merchandising data. Key Responsibilities: - Design, configure, and implement Vertex AI Search for Commerce for e-commerce search and discovery use cases. - Configure the SaaS platform to effectively consume and utilize product merchandising data (catalog, attributes, taxonomy, pricing, availability, metadata). - Enable and optimize semantic search, relevance tuning, ranking, and query understanding using built-in and custom configurations. - Integrate Vertex AI Search for Commerce with existing e-commerce front-end and backend systems. - Customize search behavior to support business rules, boosting, filtering, faceting, and personalization. - Implement A/B testing and experimentation to continuously improve search relevance, engagement, and conversion. - Monitor, analyze, and optimize search performance, latency, relevance metrics, and cost efficiency. - Build and manage end-to-end ML pipelines on Vertex AI where customization beyond SaaS capabilities is required. - Collaborate closely with Product, Engineering, Merchandising, and Business teams to translate search and discovery requirements into scalable AI solutions. - Ensure solutions meet standards for scalability, security, reliability, and performance. - Provide technical leadership and mentorship to junior engineers on AI and search architecture. Required Skills & Qualifications: - 8+ years of experience in AI/ML engineering, search platforms, or data-driven product development. - Strong hands-on experience with Google Vertex AI, including: - Vertex AI Search for Commerce (SaaS) - Training, pipelines, endpoints, and monitoring - Proven experience implementing e-commerce search and discovery solutions. - Strong understanding of information retrieval, ranking algorithms, relevance tuning, and search evaluation metrics. - Hands-on experience with: - Semantic search, embeddings, vector search - NLP-based query understanding - Solid programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Strong experience working with product catalog and merchandising data: - Product attributes, taxonomy, pricing, availability, promotions, metadata - Expertise in GCP services, including: - BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions - Experience deploying and operating low-latency, scalable search and ML APIs. - Experience collaborating with cross-functional stakeholders in retail or e-commerce environments. Nice to Have: - Experience with large-scale retail catalogs and high-traffic e-commerce platforms. - Familiarity with personalization strategies and customer behavior analytics. - Prior experience migrating or modernizing legacy search platforms to Vertex AI Search for Commerce. As a highly experienced Google Vertex AI professional, your role will involve designing, configuring, and scaling intelligent search and discovery solutions for an e-commerce retail platform. Specifically, you will focus on implementing and optimizing Vertex AI Search for Commerce (SaaS) to deliver highly relevant, personalized, and high-performance search experiences on the TWC website, leveraging rich product merchandising data. Key Responsibilities: - Design, configure, and implement Vertex AI Search for Commerce for e-commerce search and discovery use cases. - Configure the SaaS platform to effectively consume and utilize product merchandising data (catalog, attributes, taxonomy, pricing, availability, metadata). - Enable and optimize semantic search, relevance tuning, ranking, and query understanding using built-in and custom configurations. - Integrate Vertex AI Search for Commerce with existing e-commerce front-end and backend systems. - Customize search behavior to support business rules, boosting, filtering, faceting, and personalization. - Implement A/B testing and experimentation to continuously improve search relevance, engagement, and conversion. - Monitor, analyze, and optimize search performance, latency, relevance metrics, and cost efficiency. - Build and manage end-to-end ML pipelines on Vertex AI where customization beyond SaaS capabilities is required. - Collaborate closely with Product, Engineering, Merchandising, and Business teams to translate search and discovery requirements into scalable AI solutions. - Ensure solutions meet standards for scalability, security, reliability, and performance. - Provide technical leadership and mentorship to junior engineers on AI and search architecture. Required Skills & Qualifications: - 8+ years of experience in AI/ML engineering, search platforms, o