Job Title: Senior Generative AI Technical Architect (Google Cloud)
Location: Remote
Duration: 6 Month’s Contract
Job 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.
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.
