Summary

The applied AI manager leads the design and delivery of AI and machine learning systems, and mentors engineers across levels. The role shapes technical roadmaps and promotes AI adoption across the company in a hybrid working model.

Responsibilities

• Lead design and delivery of ml and genai systems
• Guide end-to-end model development and deployment
• Drive architecture decisions for ai applications
• Mentor engineers and conduct performance reviews
• Shape roadmaps and scope cross-functional projects
• Champion ci/cd, observability, and incident management