We are looking for a GCP Architect with hands-on experience designing and delivering Vertex AI-based solutions. The role focuses on practical architecture, solution design, and guiding engineering teams to build ML, GenAI, and data-driven applications on Google Cloud. You should be strong in GCP fundamentals, comfortable working with AI/ML workflows, and confident in translating business needs into technical architectures that can be delivered reliably. Responsibilities Design AI/ML and GenAI solution architectures on GCP using Vertex AI, BigQuery, Cloud Run, Cloud Functions, and GCS. Set up and configure Vertex AI components (Workbench, Pipelines, Model Registry, Feature Store, Vector Search, Model Deployment). Work with teams to design ML workflows, including data ingestion, preprocessing, model development, deployment, and monitoring. Support the build of prompt-based, RAG, and LLM-driven applications using Gemini and Vertex AI Generative AI features. Collaborate with data engineering teams to integrate models with BigQuery and other GCP data services. Build MLOps pipelines using Cloud Build, Cloud Deploy, GitHub Actions, and Terraform. Prepare architecture diagrams, solution documents, and design specifications. Participate in client workshops to understand use cases and recommend solution approaches. Review solution designs from engineering teams and ensure alignment with architecture standards. Support cost estimation, performance optimisation, and deployment