Associate Principal - Architecture

11 - 15 years

30 - 37 Lacs

Posted:4 weeks ago| Platform: Naukri logo

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Job Description

GenAI Architect Roles Responsibilities Design end to end GenAIAgentic AI architectures using Google Cloud AI ML GenAI and Vertex AI offerings Extensive handson experience in implementing end to end projects utilizing GenerativeAI Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components Define and implement Generative AI Agentic AI solution patterns leveraging frameworks such as using Vertex AI LangChain etc Experience in designing and implementing solutions leveraging Google Agentspace Gemini Enterprise Vertex AI Agent Engine Google ADK etc Lead the integration of AI solution and GenAI functionalities with broader IT ecosystems via APIs and secure workflows Extensive handson experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc Experience in working with structured as well as unstructured data for building RAG based solutions Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc Experience with agent frameworks such as Google ADK Langgraph CrewAI etc Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc Excellent understanding of Generative AI related concepts methodologies and techniques Ensure system designs meet enterprise requirements for security data privacy explainability and scalability Develop solution blueprints and technical documentation for agentic approaches Guide and mentor technical teams on GenAI and agentbased architectural considerations deployment and CICD best practices Experience Qualifications Bachelorsmasters degree in computer science Engineering or equivalent 12 years in software architecture AIML and with a minimum of 3 years in GenAI system design

Demonstrable experience delivering solutions on Google Cloud AI stack

Familiarity with multiagent systems prompt engineering and agentic orchestration tools

Solid understanding of security compliance and explainability in AI systems

Excellent communication and leadership skills

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