Senior Generative AI Technical Architect (Google Cloud)
Metalight Solutions Inc
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Job Details
Skills
- Artificial Intelligence
- Cloud Architecture
- Generative Artificial Intelligence (AI)
- Google Cloud
- Google Cloud Platform
- GenAI
- Agentic AI
- Vertex AI
- Gemini
- Agent Builder
- GCP Services
Summary
Must Have : Hands on experience on the Google AI stack also on scaling agents, AI governance, Guard rails and multi agent concepts.
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:
- 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.
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:
- 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
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.
- Dice Id: 91172362
- Position Id: 9130962
- Posted 5 hours ago
Company Info
About Metalight Solutions Inc
Metalight Solutions is a modern talent solutions partner helping organizations across the US and Canada build high-performing teams through intelligent, scalable hiring solutions. We specialize in delivering top-tier talent across IT, Non-IT and Engineering domains, supporting businesses in fast-moving and competitive markets.
By combining high-level sourcing strategies, deep market intelligence, and human expertise, we identify candidates who are not only qualified, but aligned with business goals, culture, and long-term success. From Contract, C2C, Contract-to-Hire, to Permanent Hiring, we provide agile workforce solutions designed for today’s evolving business needs.
Our approach is built on speed, precision, and quality execution. With strong talent networks, data-driven recruitment strategies, and a delivery-focused mindset, we help clients close critical roles faster while maintaining hiring excellence.
We partner with startups, staffing firms, SMBs, and enterprise organizations, adapting seamlessly to diverse hiring models while ensuring transparency, responsiveness, and accountability at every stage.
At Metalight Solutions, we go beyond staffing, we enable growth by connecting businesses with the right talent, powered by technology and driven by results.