Director of Infrastructure Engineering - AI

About this kind of role

What a Director of Infrastructure Engineering - AI usually does. The employer's own details are in the listing.

Typically does: Leads and manages a team responsible for the design, implementation, and maintenance of infrastructure supporting artificial intelligence and machine learning initiatives. This includes overseeing the development of scalable, reliable, and secure platforms for data storage, processing, and model deployment. Responsibilities often involve strategic planning for infrastructure growth, ensuring alignment with business goals, and managing budgets. They also collaborate with other engineering teams to integrate AI infrastructure into broader systems.

Tools and skills: Proficiency in cloud platforms (such as AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), infrastructure-as-code tools (Terraform, Ansible), and experience with big data technologies (Hadoop, Spark) is generally expected, alongside strong leadership and communication skills.

Good fit for: Individuals with a strong technical background in infrastructure engineering and a passion for enabling cutting-edge AI applications typically thrive in this role.