VP, Applied AI Engineer, AI Alpha Group

Translate product requirements into detailed technical specifications and development plans. 

Design, develop, and maintain full-stack applications using modern frameworks and best practices across backend and frontend systems. 

Design and implement evaluation frameworks, metrics and monitoring solutions to assess model and system performance; deploy applications to designated environments and ensure stable, reliable operation in production. 

Write and maintain unit, integration, and end-to-end tests to ensure code reliability, performance, and maintainability. 

Implement and manage data storage systems, including relational, vector, and graph databases, ensuring scalability, reliability, and integration with downstream applications. 

Design, build and optimize data processing workflows, including data extraction, transformation, integration pipelines, and feature engineering to support AI models and applications. 

Implement data quality checks, lineage tracking, and governance practices to ensure reliable, compliant, and auditable use of data across systems. 

Contribute to technical documentation and facilitate cross-functional collaboration throughout the product development lifecycle. 

Leverage AI-native development tools for coding, documentation, testing, and troubleshooting, while continuously exploring emerging AI techniques to enhance development productivity and quality.