Director, Cloud AI Platform Engineering

About this kind of role

What a Director, Cloud AI Platform Engineering usually does. The employer's own details are in the listing.

Typically does: Leads engineering teams responsible for building and maintaining cloud-based artificial intelligence platforms. This involves defining technical strategy, overseeing architecture design, and ensuring the scalability and reliability of AI infrastructure. Responsibilities often include driving innovation in machine learning operations and collaborating with data scientists and product managers. The role focuses on enabling the efficient development and deployment of AI models across the organization.

Tools and skills: Proficiency in cloud platforms like AWS, Azure, or Google Cloud, experience with containerization technologies (Docker, Kubernetes), and strong skills in programming languages such as Python or Java are generally required, alongside expertise in machine learning frameworks and DevOps practices.

Good fit for: Individuals with a strong technical background in software engineering and a passion for artificial intelligence, who thrive in a leadership role and enjoy solving complex technical challenges, are often successful in this position.