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Remote Ai Infrastructure Engineer Jobs in Atlanta, GA

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 ...

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 ...

New

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

New

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 ...

3E

AI Security & Trust Engineering Manager

Atlanta, GA · Remote

$160K - $175K/yr

You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, Compliance, HR, Legal, and Product to make trust part of how 3E builds and operates. The goal is to turn ...

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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 12, 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 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 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 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 100% Full Time. Highlights an 26% In-person, and 74% Remote job distribution, with an average salary of $122,194 per year, or $58.7 per hour.

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Atlanta, GA • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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