Google Cloud AI Engineer – Remote (US Contract)

Job Title: Google Cloud AI Engineer
Work Location: 100% Remote
Job Type: Contract
Number of Positions: 1
Job Description

We are seeking a highly skilled Google Cloud AI Engineer with strong hands-on experience in Agentic AI, Google Cloud Platform, and enterprise data engineering.

The ideal candidate will be responsible for designing, developing, and deploying sophisticated AI agents grounded in enterprise business data to automate complex workflows and deliver scalable AI solutions.

Key Responsibilities

1. Agentic AI Design & Implementation

• Develop intelligent AI agents using Vertex AI Agent Builder to automate complex business workflows.

• Utilize Agent Development Kit (ADK) to build and manage multi-agent systems.

• Implement Model Context Protocol (MCP) and MCP Toolbox to securely connect AI agents with enterprise databases such as BigQuery and Spanner.

2. AI & Data Engineering

• Utilize Vertex AI for model training, fine-tuning, and deployment.

• Integrate BigQuery for feature engineering and data processing.

• Build and optimize streaming data pipelines using Dataflow.

• Implement real-time inference using RunInference API or Vertex AI endpoints.

• Ground AI models in live business data using vector engines within BigQuery or AlloyDB.

3. Model Development & Deployment

• Work with Vertex AI Model Garden and Vertex AI Pipelines.

• Perform model evaluation, optimization, and deployment.

• Develop scalable AI/ML solutions using Python.

• Implement data preprocessing techniques, including scaling, encoding, and imputation.

4. Collaboration & Communication

• Participate in internal and client-facing meetings.

• Provide regular project updates and communicate technical blockers.

• Collaborate with team members to troubleshoot technical challenges.

• Translate business requirements into robust technical architectures.

Required Technical Skills

• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).

• Vertex AI and Vertex AI Agent Builder.

• Agent Development Kit (ADK).

• Agentic AI and Multi-Agent Architectures.

• Model Context Protocol (MCP) and MCP Toolbox.

• BigQuery and Spanner.

• Dataflow and RunInference API.

• Vertex AI Model Garden and Vertex AI Pipelines.

• Python programming and Advanced SQL.

• Machine Learning model training, tuning, and evaluation.

• RAG, Vector Search, and Enterprise AI Data Grounding.

• Google Cloud Storage.

• Vertex AI Endpoints.

• Data preprocessing and feature engineering.

Preferred Qualifications

• Experience in Financial Services or Retail domains.

• Knowledge of Credit Risk, Royalty Forecasting, or Search Relevance.

• Understanding of PII masking, data privacy, and compliance standards.

• Experience with stateful real-time data processing.

• Familiarity with emerging Agentic AI architectures.

Additional Requirements

• Strong communication and stakeholder management skills.

• Ability to work collaboratively in a remote environment.

• Proactive problem-solving and troubleshooting abilities.

• Ability to translate business requirements into technical solutions.