Description of your AI Solutions Architect
Advanced college degree
Minimum 4 years experience in the field
Average retention of 3.8 years
End-to-End AI Architecture
Designs and implements AI/ML pipelines, selecting the right models, frameworks, and platforms to align with your business goals.
System Integration
Connects AI models into existing systems (CRM, ERP, data warehouses) so insights flow directly into day-to-day operations.
Scalable Infrastructure
Builds for growth, ensuring AI deployments can handle increased data volume and complexity without constant rebuilds.
Governance and Compliance
Implements frameworks to ensure models meet SOC 2, GDPR, and industry-specific regulatory standards.
Cross-Functional Collaboration
Works with product, engineering, and leadership teams to make sure AI solutions solve real business problems, not just tech experiments.
