Principal GenAI & Agentic AI Engineer

About the role

The Principal GenAI & Agentic AI Engineer is the technical leader responsible for designing, building, and scaling AI systems that combine LLM-powered GenAI and ADK-based agentic workflows on Google Cloud Platform. This role also requires leading and developing data pipelines for necessary data layer for AI/ML.

What you'll do

• Define reference architectures for GenAI apps, RAG systems, and agent ecosystems (single/multi-agent) on GCP using ADK
• Leverage capabilities of Gemini Enterprise Agent Platform in the Agentic AI Product development
• Establish domain and platform standards: model selection, RAG/generation patterns, memory architectures, security baselines, observability, and LLMOps
• Lead portfolio-wide technical decisions (build/buy, vendor selection, SLAs, quotas) with a focus on reliability, safety, and cost control
• Define the data pipeline development for lakehouse , delta lake or feature engineering

What you need

• 12–15 yrs of experience
• LLMs
• Machine learning
• ETL
• Python
• BigQuery
• Spark
• Any graduate

Good to have

• GCP
• SQL
• Terraform
• Java
• TypeScript
• Prompt engineering