Remote Cloud AI Platform Engineer (AWS Bedrock & Claude)

Maganti IT Resources, LLC; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Maganti IT Resources, LLC is seeking a Remote Cloud AI Platform Engineer to design, deploy, and manage enterprise AI solutions on AWS using Bedrock and Claude APIs. You will implement secure, scalable AI platforms with governance and cost controls, while collaborating with architects, data engineers, and DevOps teams.

The role requires deep cloud engineering expertise, API development, and strong problem-solving and communication skills to support model lifecycle and performance tuning across

Qualifications

• 12+ years of experience in Cloud/DevOps engineering.
• Hands-on AWS Cloud Services expertise (EC2, S3, IAM).
• Experience with Amazon Bedrock and Anthropic Claude APIs.
• Strong API development and integration skills.
• Security controls, governance, and cost management knowledge.

Responsibilities

• Design, deploy, and manage AI solutions on AWS using Bedrock and Claude APIs.
• Integrate AI capabilities into enterprise applications and workflows.
• Configure IAM, security policies, and governance controls.
• Develop and manage API integrations between AI platforms and systems.
• Monitor, log, optimize performance, and provide ops support.
• Establish usage management and cloud cost optimization strategies.
• Ensure compliance with security, privacy, and regulatory requirements.
• Collaborate with cloud architects, data engineers, and DevOps teams.

Skills

Cloud engineering

DevOps

IAM & security

API development

Governance & compliance

Cost optimization

Monitoring & logging

Technical documentation

Communication

Troubleshooting

Tools

AWS Cloud Services

Terraform

CloudFormation

Bedrock & Claude APIs

RESTful APIs

Kubernetes/Docker

CI/CD pipelines

Job description

Maganti IT Resources, LLC is seeking a Remote Cloud AI Platform Engineer to design, deploy, and manage enterprise AI solutions on AWS using Bedrock and Claude APIs. You will implement secure, scalable AI platforms with governance and cost controls, while collaborating with architects, data engineers, and DevOps teams.

The role requires deep cloud engineering expertise, API development, and strong problem-solving and communication skills to support model lifecycle and performance tuning across