Design and implement systems capable of scaling to meet growing data and computation demands in AI applications.
Implement AI Infrastructure that is compliant with relevant regulations and security standards, implementing necessary controls
Provide metrics to evaluate the performance and reliability of AI infrastructure and implement improvements based on findings.
Track advancements in AI technologies and infrastructure trends and evaluate applicability to the organization’s strategy.
Work alongside data scientists, software engineers, and i2 functional teams to provide infrastructure support for new and existing systems.

Must have 5 years of relevant experience with a Bachelors degree OR 3 Years of relevant experience with Masters degree OR 9 years of relevant experience in lieu of the degree requirement
Must have a minimum of 3 years experience implementing the back-end infrastructure for COTS or SaaS platforms
Must have at minimum, 2 years of experience working with cloud (AWS or Azure) infrastructure and services
Must have experience with DevOps practices and tools for automation (ansible, ArgoCD), CI/CD, and configuration management
Must have hands-on experience with relevant programming languages (e.g., Python, Java, Powershell/Bash)
Must have experience managing Windows and Linux server environments
Must have basic knowledge of database technologies (e.g., SQL, NoSQL) and distributed computing systems
Must have exceptional verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Principal DevOps Engineer

Key skills