Principal Google Cloud AI Architect

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
6 Months
Occasional Travel Required
Remote
$55 - $75/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • PyTorch
  • TensorFlow
  • Vertex
  • bigquery
  • vertexai
  • Google Cloud Platform
  • GCP
  • Machine Learning (ML)
  • XGBoost
  • Artificial Intelligence
  • Customer Relationship Management (CRM)
  • Salesforce.com
  • python
  • Generative Artificial Intelligence (AI)

Summary

Role Overview

We are seeking a hands-on AI Architect to design and implement a predictive decision intelligence system that increases student enrollment conversion. This role will lead the architecture of a machine learning solution that prioritizes high-risk prospects, recommends next-best actions, and integrates with Salesforce.

This is a high-impact role combining data science, ML engineering, and enterprise system integration using Google Cloud (BigQuery, Vertex AI).


Key Responsibilities

AI & Predictive Modeling

  • Design and build ML models predicting enrollment conversion probability
  • Develop feature engineering pipelines from Salesforce engagement data
  • Implement risk scoring and prioritization systems
  • Evaluate model performance and business impact

AI Architecture

  • Architect scalable ML systems using:
    • BigQuery
    • Vertex AI
    • Feature stores
    • Real-time inference APIs
  • Design decision intelligence systems combining ML + rules

LLM & GenAI Layer (Selective)

  • Implement AI-generated summary explanations
  • Generate next-best-action suggestions
  • Personalize outreach content (SMS/email)

Integration & Enterprise Systems

  • Integrate AI services with Salesforce
  • Design pilot architecture outside Salesforce
  • Build reusable AI services for future embedding

Governance & Optimization

  • Ensure high-quality data inputs
  • Monitor model drift
  • Improve model continuously with feedback loops

Required Qualifications

  • 8+ years in AI/ML engineering or architecture
  • Deep experience with Google Cloud Platform
  • Strong hands-on expertise in:
    • Vertex AI
    • BigQuery ML
    • Python ML frameworks (TensorFlow, PyTorch, XGBoost)
  • Experience building:
    • Risk scoring models
    • Recommendation systems
    • Decision engines
  • Experience integrating AI systems with CRM platforms (Salesforce preferred)

Preferred Qualifications

  • Experience in higher education enrollment systems
  • Experience building predictive retention/conversion models
  • Experience working with Civitas or education analytics platforms
  • Experience embedding AI into Salesforce Lightning components
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: PTPh0RNVYeqzYHw
  • Position Id: 9005481
  • Posted 2 hours ago
Contact the job poster
VP

Vrunda Patel

Recruiter @ Vertex solutions consulting
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