Description

Key Responsibilities

• Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows
• Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges
• Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner
• Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering
• Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using RunInference API or Vertex AI endpoints

Qualifications

• Proven experience with Vertex AI including Model Garden, Vertex AI Pipelines, and model evaluation
• Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques
• Hands-on experience with Google Cloud Storage and Vertex AI endpoints
• Familiarity with stateful real-time processing and the latest innovations in agentic architectures
• Knowledge of privacy and compliance standards for handling PII through masking and redaction

Key Skills

Education

Bachelor's degree