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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior