Hands-on development and implementation of AI Infrastructure Management
Design, deploy, and manage scalable AWS infrastructure specifically for AI/ML workloads.
Implement Infrastructure as Code (IaC) using tools like AWS CloudFormation to automate deployment and management of AI services.
Support the deployment, monitoring, and lifecycle management of machine learning models.
Utilize AWS CloudWatch, X-Ray, and third-party tools to monitor system health and performance.
Deploy and manage generative AI services, including Amazon Bedrock, for intelligent automation.
Ensure AI systems follow security-first principles, including managing IAM policies and data security.

Requirements

5+ years of experience in designing and building AWS infrastructure
Deep knowledge of AWS services, particularly Bedrock, Lambda, CloudWatch, Security Hub, and Config.
Programming Languages: Proficiency in Python and shell scripting
DevOps Tools: Experience with CI/CD pipelines, Git, and containerization (Docker, Kubernetes).
ML Frameworks: Familiarity with AI/ML frameworks.

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AWS infrastructureInfrastructure as CodePythonshell scriptingCI/CD pipelinesGitDockerKubernetesAI/ML frameworksgenerative AI services