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Google Cloud AI Engineer

JC CORPORATIONSUnited States🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your Google Cloud and AI expertise, building cutting-edge AI agents and multi-agent systems with industry-leading tools like Vertex AI. You'll thrive here if you're a skilled engineer passionate about developing sophisticated AI solutions and integrating enterprise data, with the flexibility of a hybrid work environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
2 days ago
SQLMLOpsBigQueryGenerative AIGoogle CloudPython

Job Description

Job Description:
Key Responsibilities
  • Build AI agents using Vertex AI Agent Builder and Agent Development Kit (ADK).
  • Develop multi-agent systems for complex business workflows.
  • Integrate enterprise data using MCP Toolbox, BigQuery, and Spanner.
  • Build real-time AI/ML pipelines using Dataflow and Vertex AI.
  • Implement RAG and vector search using BigQuery or AlloyDB.
  • Develop and deploy ML models using Vertex AI Model Garden, Pipelines, and Endpoints.
  • Perform data preprocessing, feature engineering, model tuning, and evaluation.
  • Ensure secure handling of PII, privacy, and compliance requirements.
Required Skills
  • Strong Google Cloud Platform / Google Cloud Platform experience
  • Vertex AI, BigQuery, Dataflow
  • Vertex AI Agent Builder & ADK
  • Agentic AI / Generative AI / LLMs
  • Python & Advanced SQL
  • RAG / Vector Databases
  • Google Cloud Platform Cloud Storage, Spanner, AlloyDB
  • ML Engineering & MLOps
  • Real-time data processing and inference

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