Head of Artificial Intelligence

Architect end to end GenAI and Agentic AI solutions using Google Cloud Platform GCP including Vertex AI APIs and Agent Development Kit ADK

Design multiagent architectures supporting Agent to Agent A2A communication orchestration and collaboration across diverse enterprise functions

Define LLM solution strategy model selection fine tuning 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 function calling 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

Skills

Mandatory Skills : Application Architecture

Good to Have Skills : Lang Chain, Amazon Bedrock, Architecture Patterns and Styles, Generative AI/Open AI/Vector DB