Description

Design and implement agentic AI systems on Google Cloud to automate complex business workflows.

This role is on-site.

Responsibilities

• Build intelligent agents using Vertex AI Agent Builder and the Agent Developer Kit (ADK) to solve end-to-end business challenges.
• Connect agents to enterprise databases like BigQuery and Spanner using Model Context Protocol (MCP) Toolbox.
• Train, tune, and deploy models with Vertex AI, integrating seamlessly with BigQuery for feature engineering.
• Optimize streaming data pipelines via Dataflow for real-time inference using RunInference API or Vertex AI endpoints.
• Ground AI models in live business context using vector engines in BigQuery or AlloyDB.

Required Skills

• 5+ years of experience with Vertex AI, including Model Garden and Vertex AI Pipelines.
• Advanced SQL proficiency for BigQuery and Python for ML engineering.
• Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
• Strong knowledge of data preprocessing techniques such as scaling, encoding, and imputation.
• Familiarity with stateful real-time processing and agentic architectures.
• Ability to translate high-level business goals into technical architectures.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree