Senior Generative AI Technical Architect

Key Responsibilities: Define enterprise GenAI architecture, standards, and reusable design patterns. Design and implement AI solutions using Google Vertex AI, Gemini, Agent Builder, and GCP services. Build, deploy, and scale Agentic AI and Multi-Agent systems. Establish AI governance, security frameworks, responsible AI practices, and guardrails. Architect AI gateways, model routing, RAG solutions, and conversational AI platforms. Implement AI observability, monitoring, and performance optimization frameworks. Drive MLOps/LLMOps pipelines and enterprise AI platform capabilities. Collaborate with engineering, data, business, and product teams.

Required Skills: 12+ years of overall technology and architecture experience.5+ years of cloud architecture and AI/ML platform experience.3+ years of Generative AI and LLM architecture experience. Strong hands-on expertise in Google Cloud AI stack, Vertex AI, Gemini, and Agent Builder. Proven experience in Agentic AI, Multi-Agent systems, and scaling AI agents. Strong expertise in AI Governance, Guardrails, and Responsible AI.Experience with RAG, Vector Databases, AI Gateways, and LLMOps. Strong understanding of Kubernetes, APIs, and event-driven architectures.

Preferred: Google Cloud Professional Cloud Architect certification, MCP, and enterprise AI platform modernization experience.