Senior Generative AI Technical Architect (Google Cloud)
Role Summary
We are seeking a Senior Generative AI Technical Architect to define and lead the enterprise AI foundation architecture within the Google Cloud ecosystem. The ideal candidate will have hands-on experience building scalable GenAI platforms, agentic AI solutions, AI gateways, observability frameworks, and semantic data architectures that enable enterprise-wide AI adoption.
Key Responsibilities
• Define enterprise AI architecture, standards, and reusable design patterns. • Architect GenAI and Agentic AI solutions using Vertex AI, Gemini, Agent Builder, and Google Cloud Platform services. • Design and implement: o AI Gateway / Model Gateway architectures o Agentic and conversational AI platforms o RAG and knowledge-based AI solutions o Semantic data layers and AI-ready data architectures o AI observability, monitoring, and governance frameworks • Establish enterprise AI platform capabilities including security, scalability, model governance, and responsible AI. • Build AI delivery frameworks, MLOps/LLMOps pipelines, and reusable accelerators. • Partner with business, engineering, data, and product teams to drive AI strategy and execution.
Required Qualifications
• 12+ years of technology and architecture experience. • 5+ years in cloud architecture and AI/ML platforms. • 3+ years focused on Generative AI and LLM architectures. • Proven experience designing foundational AI architectures on Google Cloud Platform (Google Cloud Platform). • Expertise in: o Gemini, Vertex AI, Agent Builder o Agentic AI and Multi-Agent Systems o RAG, Vector Databases, Knowledge Graphs o AI Gateway and Model Routing o AI Observability and Monitoring o Semantic Layer Architecture Classification: Internal o MLOps, LLMOps, and AI Governance o Kubernetes, APIs, Event-Driven Architectures
Preferred Qualifications
• Google Cloud Professional Cloud Architect certification. • Experience with MCP (Model Context Protocol), AI delivery factories, and enterprise AI platform modernization. • Experience establishing AI governance, responsible AI practices, and enterprise-scale GenAI operating models.