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Ai Infrastructure Jobs in Georgia (NOW HIRING)

Accenture

AI & HPC Infrastructure Engineer

Atlanta, GA · On-site

$103K - $135K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

Deloitte

AI Datacenter Associate VP

Atlanta, GA · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform technology platforms, drive innovation, and make a significant impact on our clients' success. You'll ...

4p-Consulting-Inc.

DevOps Engineer IV 4P/763

Atlanta, GA · On-site

$120 - $170/hr

Build scalable AI infrastructure and integrate governance into deployment pipelines. * Monitor AI models, cloud environments, and application performance. * Drive FinOps initiatives, including cloud ...

4P Consulting Inc.

DevOps Engineer IV 4P/763

Atlanta, GA

$50.75 - $69.50/hr

The ideal candidate will have expertise in Google Cloud Platform (GCP) (preferred), Azure, Infrastructure as Code (IaC), cloud security, CI/CD pipelines, AI infrastructure, and FinOps. This role will ...

ITCAPS LLC

Operations Lead

Dalton, GA · On-site

The role will coordinate the delivery, staging, placement, and deployment of next-generation AI infrastructure while serving as the primary onsite liaison between deployment teams, site leadership ...

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$23

$49

$73

How much do ai infrastructure jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai infrastructure in Georgia is $49.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $58.27 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are popular job titles related to Ai Infrastructure jobs in Georgia?

For Ai Infrastructure jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Infrastructure jobs in Georgia look for?

The top searched job categories for Ai Infrastructure jobs in Georgia are:

What cities in Georgia are hiring for Ai Infrastructure jobs?

Cities in Georgia with the most Ai Infrastructure job openings:

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $103,946 per year, or $50 per hour.

AI Infrastructure Network Architect

Hispanic Alliance for Career Enhancement

Atlanta, GA • On-site

$144.20 - $288.40/hr

Other

Posted 5 days ago

Job description

CVS Health is seeking a Principal Network Engineer - AI Infrastructure in Atlanta, Georgia. This role focuses on designing high-performance networking solutions to support AI workloads and large-scale data center operations. Candidates should have over 10 years of network engineering experience and a proven track record of working with enterprise-level networking and security technologies.

The position also requires collaboration with compute and security teams, mentorship of junior engineers, and the ability to guide strategic initiatives within the organization's AI infrastructure.

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