AI Cloud Engineer - AWS

Capgemini•Chicago, IL

1d•$76,200 - $187,740•Hybrid

About The Position

Looking for a AI Cloud Engineer .Your role will involve hands-on development and implementation of AI Infrastructure Management Design, deploy, and manage scalable AWS infrastructure specifically for AI/ML workloads.

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.

Nice To Haves

Certifications: AWS Certified Solutions Architect, DevOps Engineer, or SysOps Administrator.

Responsibilities

Automation & IaC: Implement Infrastructure as Code (IaC) using tools like AWS CloudFormation to automate deployment and management of AI services.
Model Operations (MLOps): Support the deployment, monitoring, and lifecycle management of machine learning models.
Monitoring & Observability: Utilize AWS CloudWatch, X-Ray, and third-party tools to monitor system health and performance.
Generative AI Integration: Deploy and manage generative AI services, including Amazon Bedrock, for intelligent automation.
Security & Compliance: Ensure AI systems follow security-first principles, including managing IAM policies and data security.

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

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