GCP Architect

Required Skills: Possess 12-15 years of progressive experience in architecting, designing, and implementing robust data and artificial intelligence solutions, specifically within the Google Cloud Platform ecosystem. This role operates under a hybrid work model, requiring a blend of on-site collaboration and remote work to foster team synergy and project delivery efficiency. Preferred Skills: Additional Skills: Job Responsibilities Lead the architectural design and implementation of scalable, secure, and high-performance data and AI solutions on Google Cloud Platform (GCP). Drive the strategic vision for leveraging advanced AI/ML capabilities, including large language models and generative AI, within GCP environments. Architect robust data pipelines and machine learning operationalization (MLOps) frameworks to support the full lifecycle of AI models. Guide cross-functional teams in adopting best practices for GCP services, data governance, and AI solution development. Oversee the integration of various AI tools and frameworks, such as Claude code, OpenAI models, LangChain, AutoGen, and LlamaIndex, into enterprise solutions. Define technical standards and patterns for vector databases and Retrieval Augmented Generation (RAG) architectures to enhance AI model performance and relevance. Mentor junior and mid-level architects and engineers, fostering their growth in GCP, data engineering, and AI/ML domains. Ensure the security, compliance, and cost-effectiveness of all GCP-based data and AI infrastructure and applications. Collaborate with product management and business stakeholders to translate complex requirements into actionable technical designs and roadmaps. Evaluate emerging GCP services and AI technologies, recommending strategic adoption to maintain a competitive edge. Establish comprehensive monitoring, logging, and alerting strategies for critical data and AI systems on GCP. Drive continuous improvement initiatives for existing data platforms and AI models, focusing on performance, scalability, and reliability. Manage the technical delivery of complex data and AI projects, ensuring alignment with architectural principles and business objectives. Provide expert guidance on the selection and implementation of appropriate GCP services for data storage, processing, and AI model deployment. Department / Project Description Experience with specific industry verticals (e.g., finance, healthcare). Knowledge of other cloud platforms (AWS, Azure) data and AI services. Experience with MLOps tools and practices. Experience with real-time data streaming and processing. Experience with graph databases and graph analytics. Experience with natural language processing (NLP) and computer vision. #J-18808-Ljbffr