Description

Design and deploy AI agents on Google Cloud to automate business workflows and ground models in enterprise data.

This role is hybrid.

Responsibilities

• Develop intelligent agents using Vertex AI Agent Builder and the Agent Developer Kit (ADK) to solve end-to-end business challenges.
• Implement MCP Toolbox to securely connect agents to BigQuery and Spanner.
• Utilize Vertex AI for model training, tuning, and deployment, integrating with BigQuery for feature engineering.
• Build and 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 in AI/ML engineering.
• Proven mastery of Vertex AI, including Model Garden, Vertex AI Pipelines, and model evaluation.
• Advanced SQL proficiency in BigQuery for data preprocessing and feature engineering.
• Strong Python skills for ML engineering.
• Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
• Experience with Dataflow for streaming data pipelines.
• Familiarity with stateful real-time processing and agentic architectures.

Preferred Skills

• Background in financial services or retail.
• Knowledge of privacy and compliance standards for handling PII.

Key Skills

Education

Any Graduate