Principal Software Engineer, AI Tooling & Adoption

About this kind of role

What a Principal Software Engineer, AI Tooling & Adoption usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains software tools and infrastructure to support the development and deployment of artificial intelligence and machine learning models. This role focuses on improving the efficiency and scalability of AI workflows, often including automation of processes and creation of internal platforms. Responsibilities can also involve collaborating with data scientists and machine learning engineers to understand their needs and build solutions. A key aspect is ensuring the reliability and security of AI tooling.

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

Good fit for: Individuals with a strong software engineering background and a passion for enabling AI innovation through robust and scalable tooling are typically successful in this role.