Project Role : Cloud Platform Architect
Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary
As a GenAI & Agent Development Lead, you will be responsible for developing and delivering agent-based AI applications and platforms using Google Agent Development Kit (ADK) and Google Cloud AI services. Your typical day will involve applying Generative AI models (Gemini), RAG-based retrieval, and agent orchestration patterns to build intelligent, scalable, and production-ready AI solutions.
You should have solid hands-on experience in designing, building, deploying, and optimizing AI agents, with a growing ability to guide teams and contribute to solution design.
Roles & Responsibilities




Solutioning and designing agent-based GenAI applications and systems using Google ADK and Vertex AI
Design, develop, and maintain AI agents and agent workflows, including single-agent and multi-agent patterns and Agent-to-Agent (A2A) communication flows
Implement MCP-based orchestration concepts for agent execution, control, and coordination
Build RAG pipelines, including data ingestion, chunking strategies, embedding generation, and retrieval optimization
Contribute to Graph RAG implementations, leveraging knowledge graphs for enhanced reasoning and context
Implement Gemini Enterprise–based solutions, grounding models on first-party (1P) enterprise data and third-party (3P) systems and data sources
Apply Vertex AI Machine Learning services for embeddings, inference, evaluation, and pipelines
Integrate agents with enterprise systems, APIs, tools, and workflows
Apply prompt engineering techniq

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