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Remote Ai Infrastructure Engineer Jobs in Atlanta, GA

OnPay

Infrastructure Engineer

Atlanta, GA · On-site +1

$150K - $195K/yr

The Role We are seeking an Infrastructure Engineer to join our Engineering team. In this role, you ... Remote flexibility: Work from anywhere in the U.S., or join our collaborative HQ team in Atlanta ...

Truist

NEXTHINK Infrastructure Engineer

Atlanta, GA · Remote

$103K - $135K/yr

Develop and maintain remote actions and automation flows to enable proactive remediation ... infrastructure engineering projects and processes aligned with organizational policies and ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Contribute to the evolution of our AI-forward data engineering and infrastructure practice ...

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Contribute to the evolution of our AI-forward data engineering and infrastructure practice ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and ... AI engineering standards and best practices. * Master's or bachelor's in computer science ...

Iterable

Senior IT Engineer (AI)

Atlanta, GA · On-site +1

$141K - $221K/yr

... remote employees worldwide-we are committed to building a diverse and inclusive workplace. We ... You'll lead on AI integration work while growing your skills in infrastructure engineering ...

Juvare

Cloud Automation Engineer

Atlanta, GA · Remote

... AI tooling into that process where it adds real leverage. Location ... Atlanta / Remote What You'll Do * Design, build, and maintain infrastructure-as-code (Terraform ...

Ultimate Knowledge

AI Workflow Engineer

Atlanta, GA · Remote

... CD infrastructure. Level up developer experience. Bring modern AI integrations into the daily ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

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All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Atlanta, GA

Remote Ai Infrastructure Engineer information

See Atlanta, GA salary details

$44.7K

$122.2K

$175K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote ai infrastructure engineer in Atlanta, GA is $122,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Atlanta, GA?

The most popular types of Ai Infrastructure Engineer jobs in Atlanta, GA are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Atlanta, GA?

For Remote Ai Infrastructure Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Atlanta, GA with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $122,194 per year, or $58.7 per hour.

Developer & Infrastructure Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$30 - $80/hr

Full-time

Posted 18 hours ago

Posted today

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.