Note: The job is a remote job and is open to candidates in USA. Algoworks is seeking a hands-on AI Architect to design and implement a predictive decision intelligence system aimed at increasing student enrollment conversion. This high-impact role involves leading the architecture of machine learning solutions that integrate with Salesforce and utilize Google Cloud technologies.
Responsibilities
- 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
- Architect scalable ML systems using:
- BigQuery
- Vertex AI
- Feature stores
- Real-time inference APIs
- Design decision intelligence systems combining ML + rules
- Implement AI-generated summary explanations
- Generate next-best-action suggestions
- Personalize outreach content (SMS/email)
- Integrate AI services with Salesforce
- Design pilot architecture outside Salesforce
- Build reusable AI services for future embedding
- Ensure high-quality data inputs
- Monitor model drift
- Improve model continuously with feedback loops
Skills
- 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)
- 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
Company Overview
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