About this role

Build and lead a new AI Engineering & Delivery organization operating across three layers: Platform, Delivery, and Enablement.
Establish AI and GenAI as core enterprise platforms, not bespoke solutions.
Enable self-service AI capabilities for product, engineering, and analytics teams.
Champion API-first, platform-based architectures that accelerate time-to-market while reducing total cost of ownership.
Recruit, develop, and retain world-class technical talent; foster a culture of excellence, accountability, and continuous learning.

Bachelor’s degree required (Business, Computer Science, Engineering, Data/Analytics, or related)
15+ years of experience in software engineering and large-scale platform development.
Strong expertise in distributed systems and modern software architecture.
Cloud platforms (AWS, Azure, GCP) in regulated environments.
API, microservices, and event-driven architectures.
Proven track record delivering production AI and ML systems in real-world, regulated contexts.
Hands-on experience with machine learning lifecycle management (MLOps).
Experience leading large, globally distributed engineering teams.
Strong stakeholder management skills across Technology, Risk, Compliance, and Business leadership.

Senior Director, AI Engineering, Delivery

Key skills