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Principal Google Cloud AI Architect - Vertex solutions consulting
Software Engineer
Lead the design and deployment of a predictive decision intelligence platform on Google Cloud, leveraging Vertex AI and BigQuery to prioritize high‑risk prospects and recommend next‑best actions, while integrating seamlessly with Salesforce for maximum enrollment conversion.
About the role
Key Responsibilities
- Architect end‑to‑end machine learning solutions on Google Cloud, utilizing Vertex AI and BigQuery to model student enrollment risk.
- Design and implement data pipelines, feature stores, and model serving workflows that support real‑time decision making.
- Integrate ML outputs with Salesforce, ensuring smooth data flow and actionable insights for sales teams.
- Collaborate with data scientists, ML engineers, and product managers to refine models and iterate on feature sets.
- Lead performance tuning, cost optimization, and security best practices across the cloud stack.
Requirements
- 10+ years of experience in cloud architecture with a focus on AI/ML on Google Cloud Platform.
- Proven track record building production‑grade ML pipelines using Vertex AI, BigQuery, and related services.
- Strong knowledge of Salesforce integration patterns and data synchronization.
- Excellent communication skills and ability to mentor cross‑functional teams.
- Hands‑on experience with Python, SQL, and container orchestration (GKE or Cloud Run).