GenAI Architect
Architect and oversee the implementation of RAG pipelines, knowledge retrieval, and context grounded generation.
Design multi agent ecosystems enabling collaboration through Agents at Agents and MCP Multi Context Protocol frameworks.
Establish technical blueprints, reference architectures, and reusable design patterns for AI and LLM based solutions.
Serve as the technical authority across AIML, data, and integration layers guiding AI Engineers, ML Engineers, and Data Engineers.
Drive architecture reviews, design validations, and compliance with Google AI best practices and enterprise standards.
Implement AI observability frameworks for performance tracking, model evaluation, and continuous improvement.
Oversee end-to-end solution deployment on Google Cloud Vertex AI, App Engine, BigQuery, Cloud Functions, Looker
Lead architecture modernization and migration of legacy components into agent-based microservice frameworks.
Conduct technical workshops, POCs, and architecture deep dives with customer and partner teams.10 years of experience in software architecture with 3 years in AIML and LLM based system design.
Proven expertise in Google LLM ecosystem Gemini Models, Vertex AI, ADK, and Agent Builder.
Strong understanding of RAG frameworks vector search and contextual knowledge retrieval BigQuery Vector Search FAISS Pinecone
Hands on design experience with A@A and MCP for multi-agent orchestration and communication.
Proficiency in Python, TypeScript, or Go, with experience in API design, orchestration, and system integration.
Deep understanding of cloud native architecture, microservices, event driven design, and AI security governance
Strong grounding in promp engineering context management and evaluation methodologies for LLMs
Certified Google Cloud Professional Architect or Vertex AI Specialist.
Experience integrating LangChain LlamaIndex or AgentOps with Google ADK
Familiarity with MLOps or AgentOps pipelines for model and agent lifecycle management
experience in architecting RAG based enterprise copilots knowledge assistants or automated decision systems