Cloud AI Platform Engineer

Maganti IT Resources, LLC; United States; Remote; USD 207,000 - 289,000; Part time

Job summary

Maganti IT Resources, LLC is seeking a highly skilled Cloud AI Platform Engineer to design, deploy, and manage enterprise AI solutions leveraging Anthropic Claude, Amazon Bedrock, and AWS cloud services. This contract role is remote and requires governance, security, and cost management.

Responsibilities include integrating AI capabilities into enterprise workflows, API development, IAM governance, and cost optimization while collaborating with cloud architects, data engineers, and DevOps teams.

Qualifications

• 12+ years of experience in Cloud Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience with AWS Cloud Services (EC2, Lambda, S3, VPC, CloudWatch, IAM).
• Strong experience with Amazon Bedrock and Generative AI platforms.
• Experience integrating Anthropic Claude APIs and Large Language Models (LLMs).
• Proficiency in API development and integration using RESTful services.
• Strong understanding of cloud security, IAM, encryption, networking, and compliance frameworks.
• Experience with Infrastructure as Code (Terraform, CloudFormation, or similar tools).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience monitoring cloud resources and optimizing cloud costs.
• Strong troubleshooting, documentation, and communication skills.

Responsibilities

• Design, deploy, and manage AI solutions using Amazon Bedrock, Claude APIs, and AWS services.
• Integrate Generative AI capabilities into enterprise applications and workflows.
• Configure and maintain IAM, security policies, and governance controls.
• Develop and manage API integrations between AI platforms, cloud services, and enterprise systems.
• Implement monitoring, logging, performance optimization, and operational support processes.
• Establish usage management, financial controls, and cloud cost optimization strategies.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Collaborate with cloud architects, data engineers, DevOps teams, and business stakeholders.
• Troubleshoot platform issues and provide guidance on AI infrastructure and deployment best practices.
• Support AI model lifecycle management, performance tuning, and operational governance.

Skills

Cloud Engineering

DevOps

API development

IAM security

Cost optimization

Tools

AWS Cloud Services

Amazon Bedrock

Anthropic Claude APIs

Terraform

CloudFormation

Kubernetes

Docker

Job description

Job Title

Location

Remote

Employment Type

Contract

Job Overview

We are seeking a highly skilled Cloud AI Platform Engineer to design, deploy, and manage enterprise AI solutions leveraging Anthropic Claude, Amazon Bedrock, and AWS cloud services. The ideal candidate will be responsible for implementing secure, scalable, and cost-effective AI platforms while ensuring governance, compliance, and operational excellence. This role requires expertise in cloud engineering, AI/ML platform integration, API development, security controls, and cloud cost management.

Key Responsibilities

• Design, deploy, and manage AI solutions using Amazon Bedrock, Claude APIs, and AWS services.
• Integrate Generative AI capabilities into enterprise applications and business workflows.
• Configure and maintain Identity and Access Management (IAM), security policies, and governance controls.
• Develop and manage API integrations between AI platforms, cloud services, and enterprise systems.
• Implement monitoring, logging, performance optimization, and operational support processes.
• Establish usage management, financial controls, and cloud cost optimization strategies.
• Ensure compliance with enterprise security, privacy, and regulatory requirements.
• Collaborate with cloud architects, data engineers, DevOps teams, and business stakeholders.
• Troubleshoot platform issues and provide technical guidance on AI infrastructure and deployment best practices.
• Support AI model lifecycle management, performance tuning, and operational governance.

Required Qualifications

• 12+ years of experience in Cloud Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience with AWS Cloud Services (EC2, Lambda, S3, VPC, CloudWatch, IAM).
• Strong experience with Amazon Bedrock and Generative AI platforms.
• Experience integrating Anthropic Claude APIs and Large Language Models (LLMs).
• Proficiency in API development and integration using RESTful services.
• Strong understanding of cloud security, IAM, encryption, networking, and compliance frameworks.
• Experience with Infrastructure as Code (Terraform, CloudFormation, or similar tools).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience monitoring cloud resources and optimizing cloud costs.
• Strong troubleshooting, documentation, and communication skills.

Preferred Qualifications

• Experience with Azure OpenAI, Google Vertex AI, or other AI platforms.
• Knowledge of MLOps practices and AI governance frameworks.
• Experience implementing Responsible AI and AI security controls.
• Familiarity with Kubernetes, Docker, and containerized workloads.
• Experience in regulated industries such as Healthcare, Life Sciences, or Pharmaceuticals.
• AWS Certifications such as AWS Solutions Architect, AWS DevOps Engineer, or AWS Machine Learning Specialty.