Data Architect

We are seeking an experienced GCP AI Architect to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and Data Analytics solutions on Google Cloud Platform (GCP). The ideal candidate will combine deep expertise in cloud architecture, AI/ML technologies, and business transformation to create scalable, secure, and responsible AI solutions that deliver measurable business value. Key Responsibilities Design end-to-end AI, Generative AI, and ML solution architectures on GCP. Define enterprise AI strategies, roadmaps, and reference architectures. Architect Retrieval-Augmented Generation (RAG), Agentic AI, and AI-powered business applications. Evaluate and select appropriate Foundation Models, Gemini models, and open-source LLMs. Design prompt engineering, fine-tuning, grounding, and vector search strategies. Design scalable, secure, and highly available cloud-native architectures using Vertex AI, BigQuery, Cloud Storage, Dataflow etc Define multi-region and disaster recovery strategies. Ensure architectural alignment with enterprise cloud standards. Establish enterprise MLOps and LLMOps frameworks. Design automated model development, deployment, monitoring, and governance pipelines. Implement CI/CD practices for AI solutions. Monitor performance, model drift, and operational efficiency. Create data lakes, lakehouses, and enterprise analytics solutions. Establish feature engineering and data preparation frameworks. Define data quality, governance, lineage, and metadata management practices. Required Experience 8+ years of experience in cloud architecture, software engineering, or data platforms. 3+ years of experience designing AI/ML solutions on GCP. Experience leading enterprise-scale cloud transformation programs. Experience architecting Generative AI and LLM-based applications. #J-18808-Ljbffr Capgemini