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.