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# Senior Generative AI Technical Architect (Google Cloud)

- **Company:** Metalight Solutions Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Engineering, Data Architecture, Software Design Patterns, Graph Database, Routing, Azure Machine Learning, Google Cloud, Chatbots, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, IT Architecture, Generative AI, Agentic-AI, Data Layers, Event Driven Architecture, AI Platforms, Kubernetes, Machine Learning Operations, Google Gemini, Model Context Protocol
- **Published:** November 3, 2026
- **Apply:** https://www.dice.com/job-detail/289592f6-fbc6-41bd-8a44-04986083113d

## About the Role

Must Have : Hands on experience on the Google AI stack also on scaling agents, AI governance, Guard rails and multi agent concepts., * 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:

 * Gemini, Vertex AI, Agent Builder
 * Agentic AI and Multi-Agent Systems
 * RAG, Vector Databases, Knowledge Graphs
 * AI Gateway and Model Routing
 * AI Observability and Monitoring
 * Semantic Layer Architecture
 * MLOps, LLMOps, and AI Governance
 * Kubernetes, APIs, Event-Driven Architectures, * 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.

## Description

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., * 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:

 * AI Gateway / Model Gateway architectures
 * Agentic and conversational AI platforms
 * RAG and knowledge-based AI solutions
 * Semantic data layers and AI-ready data architectures
 * 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.