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Remote Amazon Ai Jobs (NOW HIRING)

Miratech

Senior Amazon Connect Developer

$125K - $165K/yr

Implement conversational AI and chatbot solutions using Google Dialogflow CX or similar platforms ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

Miratech

$105K - $138K/yr

Implement conversational AI and chatbot solutions using Google Dialogflow CX or similar platforms ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

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Remote Amazon Ai information

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$22K

$149.5K

$192.5K

How much do remote amazon ai jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote amazon ai in the United States is $149,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $167,000.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Remote Amazon Ai jobs
What cities are hiring for Remote Amazon Ai jobs? Cities with the most Remote Amazon Ai job openings:
What are the most commonly searched types of Amazon Ai jobs? The most popular types of Amazon Ai jobs are:
What states have the most Remote Amazon Ai jobs? States with the most job openings for Remote Amazon Ai jobs include:
What job categories do people searching Remote Amazon Ai jobs look for? The top searched job categories for Remote Amazon Ai jobs are:
Remote Amazon Ai jobs near you
Infographic showing various Remote Amazon Ai job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $149,544 per year, or $71.9 per hour.

Amazon Certified Cloud Solutions Architect

The AES Group

Bellevue, WA • Remote

$65 - $89/hr

Contractor

Re-posted 27 days ago

Job description

Job Title: Amazon Certified Cloud Solutions Architect
Focus: AWS | Containerization | Cloud-Native & POCs
Location: Remote (US-based preferred)
Employment Type: Full-time / Contract / Consulting (flexible)

About the Role

We are looking for an Amazon Certified Cloud Solutions Architect with deep, hands-on experience in containerization technologies to design, implement, and scale modern cloud-native solutions on AWS.

This role is ideal for architects who enjoy building and experimenting, delivering proofs of concept (POCs), and translating ideas into scalable, production-ready architectures. You will work across a variety of environments, including innovation initiatives, startup customers, and cloud modernization programs.

Key Responsibilities

  • Architect and deploy cloud-native solutions on AWS
  • Design and implement containerized workloads using:
    • Docker
    • Kubernetes (Amazon EKS)
    • Amazon ECS / AWS Fargate
  • Build and deliver POCs, pilots, and MVPs with rapid turnaround
  • Design microservices-based architectures
  • Implement CI/CD pipelines for containerized applications
  • Collaborate with engineering, DevOps, and product teams
  • Ensure solutions meet security, scalability, and performance best practices
  • Document architectures, patterns, and operational guidelines
  • Advise customers on cloud strategy, cost optimization, and best practices

Required Qualifications

  • AWS Certified Solutions Architect (Associate or Professional)
  • 5+ years of experience in cloud architecture or advanced cloud engineering
  • Strong hands-on experience with containerization and orchestration
  • Proven experience deploying workloads on AWS
  • Solid understanding of networking, IAM, security, and monitoring in AWS
  • Experience with Infrastructure as Code (Terraform, CloudFormation)
  • Excellent communication and stakeholder engagement skills

Preferred / Nice-to-Have Skills

  • Experience with Amazon EKS in production environments
  • Knowledge of service meshes, observability, and logging stacks
  • Experience supporting startup or innovation teams
  • Exposure to AI/ML or GenAI workloads running in containers
  • Familiarity with GitOps and modern DevOps practices

Why Join Us

  • Work on modern, cloud-native architectures
  • High-impact, hands-on role (not just diagrams)
  • Exposure to diverse projects across industries
  • Opportunity to influence early technical decisions
  • Flexible engagement models and strong growth opportunities

Who Should Apply

This role is ideal for:

  • AWS Solutions Architects passionate about containers and microservices
  • Cloud engineers ready to step into an architecture-focused role
  • Architects who enjoy POCs, innovation, and fast execution
  • Professionals looking to work across multiple cloud initiatives