Job Summary

Total Experience - total 12 to 16 years latest 4 years in Senior Solution Architect capacity Should have worked as Lead Architect / Solution architect for medium / small scale enterprises Technical Architect experience cutting across App / Network / Security / Platform architecture in GCP Hands-on Architecture Administration DevSecOps expertise in GCP

Responsibilities

Gen AI Agentic AI and ML expertise Should have 2 to 3 years of experience in Agentic AI GenAI and at least 2 years in GenAI leveraging cloud based GenAI services (any cloud AWS/Azure/GCP is fine) Should have collaborated with Hyperscalers Architects in defining and enriching GenAI solution offerings and customizing them for customer needs Should have through knowledge of end-to-end deployment of Agentic AI and GenAI solutions to customers cutting across the industry prevalence of GenAI Should have hands-on experience in Agent2Agent protocol MCP protocol Workflow chaining leveraging reasoning model prompt engineering maintaining prompt libraries managing GenAI delivered code (filtering avoiding duplicates etc.). Should have worked on Google ADK. Should have a grasp of ML concepts and be able to leverage ML stack as needed for the larger AI needs Cloud and Cloud Native expertise Should be cloud certified in architecture space AWS / GCP / Azure Should have completed one GenAI Architect or lead level certification with any hyper scaler. Before hitting Senior Architect role should have done hands-on Architecture work on platform security and data with the public cloud providers for at least 3 years Career progression Should have a Java or .NET (preferably Java) or Python/scripting based career progression before hitting EA role Industry experience Industry experience preferably in Technology working with Hyper scalers like Google Apple or high-end Technology companies Should have demonstrated thought leadership or consulting based pull through engagements creations in the last few years

📌 Sr Architect Chennai (India)
🏢 Cognizant
📍 India