Architect endtoend GenAI and Agentic AI solutions using Google Cloud Platform GCP including Vertex AI APIs and Agent Development Kit ADK
Design multiagent architectures supporting AgenttoAgent A2A communication orchestration and collaboration across diverse enterprise functions
Define LLM solution strategy model selection finetuning grounding and retrievalaugmented generation RAG pipelines for contextual accuracy
Establish context and memory engineering frameworks embedding stores vector databases and persistence strategies
Architect prompt management and functioncalling layers for seamless integration between agents APIs and enterprise business logic
Oversee ML and data architecture data pipelines model lifecycle management and operationalization
Design API and microservice integration patterns to enable secure lowlatency communication among agents backend systems and UIUX layers
Implement governance observability and compliance frameworks for GenAI deployments ensuring alignment with enterprise data security and regulatory standards
Evaluate and recommend emerging Agentic AI frameworks LLMOps tools and GCPnative innovations Gemini ADK Agent Builder for continuous architecture evolution
Collaborate with Data Engineers AI Engineers and Product teams to translate business requirements into scalable AI blueprints and ensure seamless delivery across agentic ecosystems
Experience with banking related AIGenAI use cases will be a plus
