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Remote Amazon Ai Jobs in Sumter, SC (NOW HIRING)

Testery

CTO (Java / Kotlin / React) (Remote)

Columbia, SC · Remote

$140K - $180K/yr

... leveraging AI, managing distributed systems, and more. We are a growing startup, so the ideal ... Experience with Amazon Web Services. Desired Qualifications & Experience * Developing behavior ...

All JobsAmazon Ai JobsRemote Amazon Ai JobsRemote Amazon Ai Jobs in Sumter, SC

Remote Amazon Ai information

See Sumter, SC salary details

$19.6K

$133.2K

$171.4K

How much do remote amazon ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote amazon ai in Sumter, SC is $133,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $148,700.00 per year, depending on experience, location, and employer.

What is a Remote Amazon AI?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

What are the key skills and qualifications needed to thrive as a Remote Amazon AI specialist, and why are they important?

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

Remote Amazon Ai jobs near you
Infographic showing various Remote Amazon Ai job openings in Sumter, SC as of June 2026, with employment types broken down into 18% Full Time, and 82% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $133,180 per year, or $64 per hour.

AWS Developer/Administrator

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Re-posted 12 days ago

Job description

IT - DSS - Information Systems Architect - Project Lead AWS Developer/Administrator Location: Remote Duration: 12+ Months Employment Type: Contract (C2C / W2) Experience Required: 7+ Years Project Scope: Seeking an experienced AWS Developer / Administrator to support cloud modernization initiatives and maintain AWS-based infrastructure and applications. The role involves designing, developing, deploying, and managing secure, scalable cloud environments while supporting both cloud-native and hybrid workloads. The candidate will collaborate with engineering, development, security, and operations teams to ensure high availability, performance, and compliance of AWS services.

Key Responsibilities: Design, deploy, and administer AWS environments following industry best practices. Manage AWS account structures, IAM roles, policies, and least-privilege access controls. Build and maintain solutions using core AWS services including EC2, VPC, S3, IAM, Lambda, Auto Scaling, and Elastic Load Balancing.

Configure and manage network infrastructure, including VPCs, subnets, routing tables, and security groups. Implement and manage storage services such as S3, EBS, and EFS with lifecycle policies. Develop serverless applications using Lambda and API Gateway.

Monitor and maintain cloud environments using CloudWatch, CloudTrail, and AWS Config. Develop and support Amazon Connect contact center environments, including contact flows, queues, routing profiles, and integrations with APIs and Lambda functions. Design and integrate AI-enabled solutions using Amazon Bedrock when required.

Implement Infrastructure as Code (IaC) using tools like CloudFormation or Terraform. Support CI/CD pipelines and automation workflows for application deployments. Monitor performance, availability, and optimize cloud costs.

Troubleshoot infrastructure and application issues across production and non-production environments. Work with security teams to ensure encryption, logging, monitoring, and compliance standards are met. Maintain documentation, runbooks, and architecture diagrams.

Provide technical mentoring and knowledge transfer to team members. Participate in maintenance, upgrades, and occasional after-hours support. Required Skills & Experience: 6+ years of overall IT experience supporting enterprise systems.

3+ years of hands-on experience with AWS development and administration. Strong experience with core AWS services such as EC2, VPC, IAM, S3, and Lambda. 3+ years of experience working with Amazon Connect or contact center technologies.

Experience integrating APIs, serverless architectures, and cloud services. Experience implementing Infrastructure as Code and automation. Knowledge of AWS security best practices, logging, and monitoring.

Scripting experience with Python, Bash, or similar languages. Preferred Skills: Experience with AI/ML integrations and prompt engineering. Experience with hybrid cloud architectures and third-party integrations.

Knowledge of cloud cost optimization and FinOps practices. Experience with Azure cloud services. Strong experience building integrations using APIs and serverless technologies.

Required Certifications AWS Certified Solutions Architect - Professional OR AWS Certified DevOps Engineer - Professional Preferred Certifications Microsoft Certified Azure Solutions Architect (AZ-305) Tools & Technologies Amazon Web Services (AWS),Amazon Connect, Amazon Bedrock, AWS Lambda, AWS CloudFormation / Terraform, CloudWatch / CloudTrail, API Gateway, CI/CD tools, Git-based version control systems

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