Google Cloud Platform (GCP) Architect - Vertex AI & Generative AI

Job Summary

Job Title: Google Cloud Platform (GCP) Architect - Vertex AI & Generative AI Responsibilities: Design, implement, and maintain highly scalable cloud-based solutions using GCP services, with a focus on Vertex AI for building and deploying AI models. Create and maintain architectures leveraging GCP products such as BigQuery, Kubernetes Engine (GKE), Cloud Functions, Pub/Sub, and others. Work with teams to define strategies for implementing machine learning (ML) workflows, optimizing model performance, and managing data pipelines. Utilize Vertex AI to build end-to-end ML workflows, from data collection and preprocessing to model training, deployment, and monitoring. Leverage Generative AI models and techniques to deliver cutting-edge AI solutions, particularly in content generation, data augmentation, or natural language processing. Experience on Agentic AI Frameworks Implement best practices in deploying and scaling machine learning models in the cloud. Partner with cross-functional teams (data scientists, engineers, product managers) to understand business requirements and deliver technical solutions. Drive continuous improvement and innovation in cloud-native AI solutions. Skills & Experience: 10+ Years of IT experience Required: Deep Knowledge of GCP Ecosystem: Strong proficiency with GCP services including but not limited to: Vertex AI for end-to-end AI/ML lifecycle management. BigQuery for large-scale data processing. Google Kubernetes Engine (GKE) for container orchestration. Cloud Functions, Cloud Pub/Sub, Cloud Storage, and others. Experience designing, deploying, and optimizing GCP-based architectures in production environments. Expertise in Vertex AI: Experience using Vertex AI for building, training, and deploying machine learning models at scale. Proficiency with Vertex AI Workbench, Pipelines, and Model Monitoring. Familiarity with AutoML and custom model training on Vertex AI. Experience with Generative AI: Hands-on experience with Generative AI techniques and models, such as GPT (Generative Pre-trained Transformer), GANs (Generative Adversarial Networks), or other advanced natural language models. Familiarity with applying Generative AI in real-world scenarios, such as content generation, AI-driven chatbots, synthetic data generation, or AI-enhanced user experiences. Experience with Agentic AI: Experience of Agentic AI Framework (e.g. Google Agentspace) Strong Programming and Scripting Skills: Proficiency in Python (required for machine learning tasks), along with experience in ML libraries like TensorFlow, PyTorch, or Scikit-learn. Familiarity with SQL for querying data in BigQuery. Cloud Security and Governance: Strong understanding of cloud security practices (IAM roles, service accounts, encryption). Experience with GCP security tools (e.g., Cloud Identity, Security Command Center). Certifications: Google Cloud Professional Cloud Architect or Google Cloud Professional Data Engineer certification. Vertex AI or AI/ML-related certifications. Education: Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience