Senior Director, Enterprise AI Platform Engineering - Hybrid (Acton, MA or San Diego, CA)

About this kind of role

What a Senior Director, Enterprise AI Platform Engineering - Hybrid (Acton, MA or San Diego, CA) usually does. The employer's own details are in the listing.

Typically does: Leads engineering teams responsible for building and maintaining enterprise-level artificial intelligence platforms. This includes designing scalable and reliable infrastructure, developing tools for data scientists and machine learning engineers, and ensuring the platform supports various AI/ML workloads. Responsibilities often encompass strategic planning, resource allocation, and collaborating with cross-functional teams to align the platform with business needs. They also focus on platform governance, security, and compliance.

Tools and skills: Proficiency in cloud computing platforms (like AWS, Azure, or Google Cloud), experience with containerization technologies (Docker, Kubernetes), strong programming skills (Python, Java), and expertise in machine learning frameworks (TensorFlow, PyTorch) are generally required.

Good fit for: Individuals with a strong technical background in software engineering and a deep understanding of artificial intelligence and machine learning principles often thrive in this role.