Senior Generative AI Technical Architect - Google Cloud

We are seeking a highly experienced Senior Generative AI Technical Architect to lead the design and implementation of enterprise-scale Generative AI and Agentic AI solutions within the Google Cloud Platform (Google Cloud Platform) ecosystem., * Define enterprise-wide Generative AI architecture, technical standards, and reusable design patterns.

• Architect and implement GenAI and Agentic AI solutions using Google Vertex AI, Gemini, Agent Builder, and other Google Cloud Platform services.
• Design and scale multi-agent architectures, autonomous AI agents, and conversational AI platforms.
• Build enterprise AI Gateway and Model Gateway architectures for model routing, access management, and centralized AI orchestration.
• Architect RAG-based solutions, vector database integrations, knowledge graphs, and enterprise knowledge management platforms.
• Establish AI governance frameworks, responsible AI practices, security controls, and guardrails to ensure safe and compliant AI adoption.
• Design AI observability and monitoring frameworks covering model performance, agent behavior, latency, cost, and reliability.
• Develop semantic data layers and AI-ready data architectures to support enterprise AI applications.
• Establish MLOps/LLMOps pipelines, AI delivery frameworks, and reusable accelerators.
• Ensure scalability, security, performance, and reliability of enterprise AI platforms.
• Collaborate with business stakeholders, engineering teams, data architects, and product leaders to translate business requirements into scalable AI solutions.

The ideal candidate will have strong hands-on expertise with Google’s AI stack, including Vertex AI, Gemini, and Agent Builder, along with proven experience building scalable multi-agent systems, AI gateways, RAG architectures, and enterprise AI governance frameworks., * 12+ years of overall experience in technology architecture, engineering, or enterprise solution design.

• 5+ years of experience in cloud architecture and AI/ML platforms.
• 3+ years of hands-on experience designing and implementing Generative AI and LLM-based architectures.

• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) AI technologies, particularly:

• Vertex AI
• Gemini
• Vertex AI Agent Builder

Proven experience designing, developing, and scaling Agentic AI and Multi-Agent Systems.

Strong understanding of AI governance, responsible AI, safety guardrails, and enterprise AI security.

Experience designing AI Gateway / Model Gateway solutions and model routing architectures.

Hands-on experience with RAG, vector databases, knowledge graphs, and semantic data architectures.

Experience with AI observability, monitoring, model evaluation, and performance optimization.

Strong understanding of MLOps, LLMOps, Kubernetes, APIs, and event-driven architectures., * Google Cloud Professional Cloud Architect certification.

• Experience with Model Context Protocol (MCP).
• Experience building enterprise AI delivery factories and reusable GenAI accelerators.
• Experience modernizing enterprise platforms for large-scale AI adoption.
• Experience defining enterprise AI operating models and responsible AI governance practices.